Dr. Khan M. Iftekharuddin Profile

Dr. Khan M. Iftekharuddin

SDL Author at Old Dominion Univ.

SPIE Involvement:

Publications (93)

Proceedings Article | 30 September 2024 Presentation + Paper

Automated flood depth estimation on roadways

Kwame Ampofo, Megan Witherow, Alex Glandon, Monibor Rahman, Ahmed Temtam, Mecit Cetin, Khan Iftekharuddin

Proceedings Volume 13136, 1313603 (2024) https://doi.org/10.1117/12.3028126

KEYWORDS: Floods, Data modeling, Education and training, Deep learning, Image segmentation, Performance modeling, Cross validation, Ablation, Safety, Object detection

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Proceedings Article | 3 April 2024 Presentation + Paper

Domain adaptive federated learning for multi-institution molecular mutation prediction and bias identification

W. Farzana, M. Witherow, I. Longoria, M. Sadique, A. Temtam, K. Iftekharuddin

Proceedings Volume 12927, 129271M (2024) https://doi.org/10.1117/12.3008748

KEYWORDS: Data modeling, Magnetic resonance imaging, Performance modeling, Education and training, Data privacy, Cross validation, Feature extraction, Tumors, Radiomics, Mixtures

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Proceedings Article | 2 April 2024 Presentation + Paper

Wavelet-based harmonization of local and global model shifts in federated learning for histopathological images

W. Farzana, A. Temtam, K. Iftekharuddin

Proceedings Volume 12930, 129300J (2024) https://doi.org/10.1117/12.3009710

KEYWORDS: Wavelets, Data modeling, Histopathology, Tumors, Image segmentation, Machine learning, Tissues, Education and training, Medical imaging, Breast cancer

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SPIE Journal Paper | 31 October 2023 Open Access

Special Section Editorial: Artificial Intelligence for Medical Imaging in Clinical Practice

Claudia Mello-Thoms, Karen Drukker, Sian Taylor-Phillips, Khan Iftekharuddin, Marios Gavrielides

JMI, Vol. 10, Issue 05, 051801, (October 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.5.051801

KEYWORDS: Artificial intelligence, Medical imaging, Clinical practice, Pathology, Lung, Imaging devices, Cardiovascular magnetic resonance imaging, Cancer detection, Breast cancer, 3D image enhancement

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Proceedings Article | 4 October 2023 Presentation + Paper

Comparison of machine learning methods for classification of alexithymia in individuals with and without autism from eye-tracking data

Furkan Ilgin, Megan Witherow, Khan Iftekharuddin

Proceedings Volume 12675, 126750P (2023) https://doi.org/10.1117/12.2682724

KEYWORDS: Machine learning, Emotion, Eye tracking, Data modeling, Eye models, Education and training, Lawrencium, Performance modeling, Neurological disorders, Decision trees

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Proceedings Article | 13 June 2023 Presentation + Paper

Transfer learning using infrared and optical full motion video data for gender classification

Alexander Glandon, Joe Zalameda, Khan Iftekharuddin

Proceedings Volume 12534, 1253418 (2023) https://doi.org/10.1117/12.2663972

KEYWORDS: LIDAR, Education and training, Data modeling, Deep learning, Machine learning, Video, Human subjects, Feature extraction, Army, Sensors

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Proceedings Article | 13 June 2023 Presentation + Paper

Adaptive critic network for person tracking using 3D skeleton data

Joseph Zalameda, Alex Glandon, Khan Iftekharuddin

Proceedings Volume 12527, 125270J (2023) https://doi.org/10.1117/12.2663409

KEYWORDS: Video, LIDAR, 3D tracking, Windows, Design and modelling, Machine learning, Detection and tracking algorithms, Data modeling, Neural networks

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Proceedings Article | 7 April 2023 Presentation + Paper

Opioid use disorder prediction using machine learning of fMRI data

A. Temtam, Liangsuo Ma, F. Gerard Moeller, M. Sadique, K. Iftekharuddin

Proceedings Volume 12465, 124650Q (2023) https://doi.org/10.1117/12.2655568

KEYWORDS: Functional magnetic resonance imaging, Statistical analysis, Brain, Feature extraction, Machine learning, Decision trees, Neuroscience, Neuroimaging, Diseases and disorders, Performance modeling

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Proceedings Article | 7 April 2023 Presentation + Paper

Class activation mapping and uncertainty estimation in multi-organ segmentation

M. Sadique, W. Farzana, A. Temtam, K. Iftekharuddin

Proceedings Volume 12465, 124650V (2023) https://doi.org/10.1117/12.2655508

KEYWORDS: Education and training, Image segmentation, Liver, Data modeling, Deep learning, Cross validation, Kidney, Visualization, Computed tomography, Visual process modeling

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Proceedings Article | 3 October 2022 Presentation + Paper

Facial landmark feature fusion in transfer learning of child facial expressions

Megan Witherow, Manar Samad, Norou Diawara, Khan Iftekharuddin

Proceedings Volume 12227, 122270P (2022) https://doi.org/10.1117/12.2641898

KEYWORDS: Machine learning, Convolutional neural networks, Information fusion, Data modeling, Image classification, Feature extraction

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Proceedings Article | 4 April 2022 Presentation + Paper

Uncertainty estimation in classification of MGMT using radiogenomics for glioblastoma patients

W. Farzana, Z. Shboul, A. Temtam, K. Iftekharuddin

Proceedings Volume 12033, 120331E (2022) https://doi.org/10.1117/12.2612621

KEYWORDS: Data modeling, Fractal analysis, Performance modeling, Tumors, Tissues, Stochastic processes, Magnetic resonance imaging, Uncertainty analysis, Feature extraction, Image classification

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Proceedings Article | 4 April 2022 Paper

Radiomic texture feature descriptor to distinguish recurrent brain tumor from radiation necrosis using multimodal MRI

M. Sadique, A. Temtam, E. Lappinen, K. Iftekharuddin

Proceedings Volume 12033, 120332I (2022) https://doi.org/10.1117/12.2613114

KEYWORDS: Tumors, Magnetic resonance imaging, Radon, Brain, Neuroimaging, Feature extraction, Radiotherapy, Pathology, Machine learning, Feature selection

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Proceedings Article | 15 February 2021 Poster + Paper

COVID-19 detection using image analysis methods on CT images

Mohamed Elbakary, Khan Iftekharuddin

Proceedings Volume 11596, 115963G (2021) https://doi.org/10.1117/12.2581667

KEYWORDS: Computed tomography, Lung, Image analysis, Image segmentation, Image processing algorithms and systems, Feature extraction

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Proceedings Article | 21 August 2020 Presentation + Paper

Gender classification of full-body biological motion of aperiodic actions using machine learning

Madeline Navarro, Alexander Glandon, Nibir Dhar, Khan Iftekharuddin

Proceedings Volume 11509, 1150904 (2020) https://doi.org/10.1117/12.2569538

KEYWORDS: Machine learning, Biological research, Kinematics, Feature extraction, Motion models, Matrices, Data modeling, Statistical analysis, Motion measurement

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Proceedings Article | 21 August 2020 Presentation + Paper

Learning latent expression labels of child facial expression images through data-limited domain adaptation and transfer learning

Megan Witherow, Winston Shields, Manar Samad, Khan Iftekharuddin

Proceedings Volume 11511, 115110E (2020) https://doi.org/10.1117/12.2569454

KEYWORDS: Data modeling, Statistical modeling, Performance modeling, Finite element methods, Visualization, Mouth, Detection and tracking algorithms, Classification systems, Feature extraction

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Proceedings Article | 16 March 2020 Presentation + Paper

Deep learning with context encoding for semantic brain tumor segmentation and patient survival prediction

Linmin Pei, Lasitha Vidyaratne, Md Monibor Rahman, Khan Iftekharuddin

Proceedings Volume 11314, 113140H (2020) https://doi.org/10.1117/12.2550693

KEYWORDS: Computer programming, Brain, Tumors

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Proceedings Article | 28 February 2020 Presentation + Paper

Efficacy of radiomics and genomics in predicting TP53 mutations in diffuse lower grade glioma

Zeina Shboul, Khan Iftekharuddin

Proceedings Volume 11317, 113170Y (2020) https://doi.org/10.1117/12.2550764

KEYWORDS: Genomics, Tumors, Performance modeling, Magnetic resonance imaging, Feature extraction, Feature selection, Machine learning, Tissues, Data modeling, Brain

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SPIE Journal Paper | 25 February 2020 Open Access

Special Section Guest Editorial: Machine Learning in Optics

Jonathan Howe, Travis Axtell, Khan Iftekharuddin

OE, Vol. 59, Issue 05, 051401, (February 2020) https://doi.org/10.1117/12.10.1117/1.OE.59.5.051401

KEYWORDS: Machine learning, Image fusion, Image quality, Evolutionary algorithms, Telescopes, Optical design, Optical engineering, Aerospace engineering, Artificial intelligence, Detection and tracking algorithms

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Proceedings Article | 6 September 2019 Paper

Transfer learning approach to multiclass classification of child facial expressions

Megan Witherow, Manar Samad, Khan Iftekharuddin

Proceedings Volume 11139, 1113911 (2019) https://doi.org/10.1117/12.2530397

KEYWORDS: Data modeling, Databases, Mouth, Performance modeling, Facial recognition systems, Image classification, Human-computer interaction, Photography, Machine learning, Feature extraction

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Proceedings Article | 6 September 2019 Paper

Computational modeling of trust factors using reinforcement learning

C. Kuzio, A. Dinh, C. Stone, L. Vidyaratne, K. Iftekharuddin

Proceedings Volume 11136, 111360J (2019) https://doi.org/10.1117/12.2531060

KEYWORDS: Data modeling, Systems modeling, Navigation systems, Computational modeling, Machine learning, Performance modeling, Object recognition, Intelligence systems, Genetic algorithms, Algorithm development

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SPIE Journal Paper | 24 April 2019

Glioma grading using structural magnetic resonance imaging and molecular data

Syed M. Reza, Manar Samad, Zeina Shboul, Karra Jones, Khan Iftekharuddin

JMI, Vol. 6, Issue 02, 024501, (April 2019) https://doi.org/10.1117/12.10.1117/1.JMI.6.2.024501

KEYWORDS: Magnetic resonance imaging, Tumors, Image segmentation, Feature extraction, Data modeling, Image classification, Statistical modeling, Pathology, Brain, Performance modeling

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Proceedings Article | 13 March 2019 Paper

Prediction of low-grade glioma progression using MR imaging

Zeina Shboul, Khan Iftekharuddin

Proceedings Volume 10950, 1095049 (2019) https://doi.org/10.1117/12.2512620

KEYWORDS: Tumors, Magnetic resonance imaging, Performance modeling, Feature extraction, Fractal analysis, Brain, Feature selection, Tissues, Nervous system, Genomics

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Proceedings Article | 7 September 2018 Paper

Recent experience with computational modeling for medical image analysis

Khan Iftekharuddin, Zeina Shboul

Proceedings Volume 10751, 107510K (2018) https://doi.org/10.1117/12.2323674

KEYWORDS: Tumors, Brain, Image segmentation, Magnetic resonance imaging, Tissues, Feature extraction, Medical imaging, Computational modeling, Image fusion, Fractal analysis

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Proceedings Article | 27 February 2018 Paper

Deep learning and texture-based semantic label fusion for brain tumor segmentation

L. Vidyaratne, M. Alam, Z. Shboul, K. Iftekharuddin

Proceedings Volume 10575, 105750D (2018) https://doi.org/10.1117/12.2292930

KEYWORDS: Tumors, Magnetic resonance imaging, Tissues, Brain, Image segmentation, Data modeling, Binary data, Image classification, Convolutional neural networks, Feature extraction

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Proceedings Article | 12 September 2017 Paper

An improved silhouette for human pose estimation

Anthony Hawes, Khan Iftekharuddin

Proceedings Volume 10395, 1039512 (2017) https://doi.org/10.1117/12.2274449

KEYWORDS: Binary data, Detection and tracking algorithms, Edge detection, Image segmentation, Sensors, Hough transforms, Image processing algorithms and systems, Image analysis, 3D image processing, Image processing

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Proceedings Article | 24 August 2017 Paper

Aerosol detection using lidar-based atmospheric profiling

Mohamed Elbakary, Hossam Abdelghaffar, Kwasi Afrifa, Hesham Rakha, Mecit Cetin, Khan Iftekharuddin

Proceedings Volume 10395, 103951H (2017) https://doi.org/10.1117/12.2275626

KEYWORDS: Aerosols, LIDAR, Light scattering, Scattering, Pollution, Atmospheric particles, Atmospheric sensing, Profiling, Backscatter, Detection and tracking algorithms

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Proceedings Article | 1 May 2017 Paper

Contemporary deep recurrent learning for recognition

K. Iftekharuddin, M. Alam, L. Vidyaratne

Proceedings Volume 10203, 1020302 (2017) https://doi.org/10.1117/12.2266450

KEYWORDS: Neural networks, Pattern recognition, Machine vision, Computer vision technology, Image processing, Object recognition, Facial recognition systems, Optical character recognition, Performance modeling, Robotics, Feature extraction, Network architectures, Detection and tracking algorithms, Neurons, Brain

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Proceedings Article | 1 May 2017 Paper

Comparison of sub-scaled to full-scaled aircrafts in simulation environment for air traffic management

Mohamed Elbakary, Khan Iftekharuddin, Yiannis Papelis, Brett Newman

Proceedings Volume 10203, 102030Q (2017) https://doi.org/10.1117/12.2271679

KEYWORDS: Simulink, Device simulation, Computer simulations, Research management, Computer engineering, Aerospace engineering, Modeling and simulation, Safety, Pattern recognition, Current controlled current source

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Proceedings Article | 3 March 2017 Paper

Improved brain tumor segmentation by utilizing tumor growth model in longitudinal brain MRI

Linmin Pei, Syed M. Reza, Wei Li, Christos Davatzikos, Khan Iftekharuddin

Proceedings Volume 10134, 101342L (2017) https://doi.org/10.1117/12.2254034

KEYWORDS: Magnetic resonance imaging, Brain, Image segmentation, Tumor growth modeling, Tissues, Fractal analysis, Tumors, Mathematical modeling, Data modeling, Diffusion

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Proceedings Article | 12 September 2016 Paper

Aerosol detection methods in lidar-based atmospheric profiling

Mohamed Elbakary, Khan Iftekharuddin, Russell De Young, Kwasi Afrifa

Proceedings Volume 9970, 997002 (2016) https://doi.org/10.1117/12.2238635

KEYWORDS: Aerosols, LIDAR, Backscatter, Atmospheric particles, Signal processing, Signal attenuation, Scattering, Clouds, Mass attenuation coefficient, Atmospheric sensing

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Proceedings Article | 13 May 2016 Paper

Gender classification of running subjects using full-body kinematics

Christina Williams, Jeffrey Flora, Khan Iftekharuddin

Proceedings Volume 9841, 984107 (2016) https://doi.org/10.1117/12.2225084

KEYWORDS: Analytical research, Kinematics, Motion analysis, Image classification, Principal component analysis, Feature extraction, Gait analysis, Biological research, Machine learning, Error analysis

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Proceedings Article | 24 March 2016 Paper

Glioma grading using cell nuclei morphologic features in digital pathology images

Syed M. Reza, Khan Iftekharuddin

Proceedings Volume 9785, 97852U (2016) https://doi.org/10.1117/12.2217559

KEYWORDS: Pathology, Image segmentation, Neuroimaging, Brain, Feature extraction, Tissues, Cancer, Head, Neck, Tumors, Absorbance, Image classification, Image processing

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SPIE Journal Paper | 30 November 2015

Sparse coding based dense feature representation model for hyperspectral image classification

Ender Oguslu, Guoqing Zhou, Zezhong Zheng, Khan Iftekharuddin, Jiang Li

JEI, Vol. 24, Issue 06, 063009, (November 2015) https://doi.org/10.1117/12.10.1117/1.JEI.24.6.063009

KEYWORDS: Associative arrays, Image classification, Feature selection, Computer programming, Hyperspectral imaging, Digital filtering, Data modeling, Image fusion, Composites, Remote sensing

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Proceedings Article | 9 September 2015 Paper

Cellular recurrent deep network for image registration

M. Alam, L. Vidyaratne, Khan Iftekharuddin

Proceedings Volume 9598, 95981B (2015) https://doi.org/10.1117/12.2197658

KEYWORDS: Image registration, Neurons, Rigid registration, Neural networks, Image processing, Network architectures, Image restoration, Image storage, Artificial neural networks, Evolutionary algorithms

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Proceedings Article | 20 March 2015 Paper

Multi-fractal detrended texture feature for brain tumor classification

Syed M. Reza, Randall Mays, Khan Iftekharuddin

Proceedings Volume 9414, 941410 (2015) https://doi.org/10.1117/12.2083596

KEYWORDS: Tumors, Brain, Magnetic resonance imaging, Neuroimaging, Image classification, Feature extraction, Image segmentation, Magnetism, Imaging spectroscopy, Spectroscopy

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Proceedings Article | 19 September 2014 Paper

Improvements to vehicular traffic segmentation and classification for emissions estimation using networked traffic surveillance cameras

Jeffrey Flora, Mahbubul Alam, Khan Iftekharuddin

Proceedings Volume 9216, 92160K (2014) https://doi.org/10.1117/12.2063323

KEYWORDS: Image segmentation, Cameras, Video, Video surveillance, Detection and tracking algorithms, Surveillance, Intelligence systems, Feature extraction, Systems modeling, Video compression

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Proceedings Article | 19 June 2014 Paper

Full-motion video analysis for improved gender classification

Jeffrey Flora, Darrell Lochtefeld, Khan Iftekharuddin

Proceedings Volume 9089, 90890Q (2014) https://doi.org/10.1117/12.2053390

KEYWORDS: Gait analysis, Principal component analysis, Video, Sensors, Feature extraction, Motion analysis, Computing systems, Data centers, Human subjects, Kinematics

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Proceedings Article | 13 June 2014 Paper

Novel metrics for object discrimination in overhead real and synthetic color images

Prakash Duraisamy, Amr Yousef, Khan Iftekharuddin

Proceedings Volume 9088, 908810 (2014) https://doi.org/10.1117/12.2052887

KEYWORDS: Image compression, Buildings, Machine vision, Computer vision technology, Wavelets, Shape analysis, Information security, Surveillance, Image analysis, Statistical analysis

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Proceedings Article | 5 June 2014 Paper

Radial curve-based classification and localization of features for 3D facial expressions

Manar Samad, Khan Iftekharuddin

Proceedings Volume 9117, 91171E (2014) https://doi.org/10.1117/12.2053428

KEYWORDS: 3D image processing, Shape analysis, Feature selection, Nose, Feature extraction, Facial recognition systems, 3D acquisition, Visualization, Human-computer interaction, Analytical research

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Proceedings Article | 18 March 2014 Paper

Multi-fractal texture features for brain tumor and edema segmentation

S. Reza, K. Iftekharuddin

Proceedings Volume 9035, 903503 (2014) https://doi.org/10.1117/12.2044264

KEYWORDS: Tumors, Image segmentation, Tissues, Brain, Magnetic resonance imaging, Data modeling, Image fusion, Neuroimaging, Solids, Feature extraction

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SPIE Journal Paper | 24 January 2014 Open Access

Special Section Guest Editorial: Optical and Hybrid Imaging and Processing for Big Data Problems

Khan Iftekharuddin, Abdul Awwal, S. Susan Young, Ghaleb Abdulla

OE, Vol. 53, Issue 01, 011001, (January 2014) https://doi.org/10.1117/12.10.1117/1.OE.53.1.011001

KEYWORDS: Analytical research, Image processing, Optical imaging, Hybrid optics, Optical engineering, Data processing, Sensors, Computer engineering, Data acquisition, Computer generated holography

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Proceedings Article | 26 September 2013 Paper

Highway traffic segmentation using super-resolution and Gaussian mixture model

Amr Hussein Yousef, Jeff Flora, Khan Iftekharuddin

Proceedings Volume 8855, 88550G (2013) https://doi.org/10.1117/12.2026438

KEYWORDS: Image segmentation, Super resolution, Video, Filtering (signal processing), Video surveillance, Image filtering, Video compression, Lawrencium, Image processing, Cameras

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SPIE Journal Paper | 18 September 2013

Shoreline extraction from light detection and ranging digital elevation model data and aerial images

Amr Yousef, Khan Iftekharuddin, Mohammad Karim

OE, Vol. 53, Issue 01, 011006, (September 2013) https://doi.org/10.1117/12.10.1117/1.OE.53.1.011006

KEYWORDS: LIDAR, Image segmentation, Data modeling, Coastal modeling, Hough transforms, Optical engineering, RGB color model, Data conversion, Image fusion, Monte Carlo methods

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Proceedings Article | 31 May 2013 Paper

Toward aerosols LiDAR scattering plots clustering and analysis

Amr Yousef, Khan Iftekharuddin, Mohammad Karim

Proceedings Volume 8718, 87180F (2013) https://doi.org/10.1117/12.2015807

KEYWORDS: Aerosols, LIDAR, Scattering, Atmospheric particles, Signal to noise ratio, Computing systems, Light scattering, Phase modulation, Fuzzy logic, Receivers

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Proceedings Article | 17 May 2013 Paper

Recognition of 3D facial expression from posed data

Manar Samad, Khan Iftekharuddin

Proceedings Volume 8738, 87380X (2013) https://doi.org/10.1117/12.2015603

KEYWORDS: 3D image processing, Facial recognition systems, Feature extraction, 3D modeling, Sensors, Clouds, Head, Stereoscopy, Image classification, Databases

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Proceedings Article | 29 April 2013 Paper

A new morphology algorithm for shoreline extraction from DEM data

Amr Yousef, Khan Iftekharuddin, Mohammad Karim

Proceedings Volume 8748, 87480D (2013) https://doi.org/10.1117/12.2015801

KEYWORDS: LIDAR, Image segmentation, Binary data, Data modeling, Hough transforms, Visualization, Coastal modeling, Clouds, Bridges, Photography

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Proceedings Article | 15 October 2012 Paper

Intensity-based registration and fusion of thermal and visual facial-images

Musa Serdar Arslan, Mohamed Elbakaray, Shamim Reza, Khan Iftekharuddin

Proceedings Volume 8498, 84980C (2012) https://doi.org/10.1117/12.930972

KEYWORDS: Image fusion, Visualization, Image registration, Image visualization, Thermography, Infrared imaging, Databases, Magnetic resonance imaging, Detection and tracking algorithms, Image segmentation

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Proceedings Article | 7 May 2012 Paper

Sparse coding for hyperspectral images using random dictionary and soft thresholding

Ender Oguslu, Khan Iftekharuddin, Jiang Li

Proceedings Volume 8399, 83990A (2012) https://doi.org/10.1117/12.919162

KEYWORDS: Associative arrays, Computer programming, Feature extraction, Hyperspectral imaging, Data modeling, Image classification, Image compression, Principal component analysis, Algorithm development, Independent component analysis

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SPIE Press Book | 21 March 2012

Field Guide to Image Processing

Khan Iftekharuddin, Abdul Awwal

KEYWORDS: Image processing, Image filtering, Fourier transforms, Image compression, Transform theory, Linear filtering, Convolution, Signal processing, Electronic filtering, Image segmentation

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Proceedings Article | 23 February 2012 Paper

Multiclass feature selection for improved pediatric brain tumor segmentation

Shaheen Ahmed, Khan Iftekharuddin

Proceedings Volume 8315, 83153J (2012) https://doi.org/10.1117/12.911018

KEYWORDS: Tumors, Image segmentation, Feature selection, Tissues, Magnetic resonance imaging, Brain, Distance measurement, Image classification, Feature extraction, Expectation maximization algorithms

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Proceedings Article | 13 September 2011 Paper

Autonomous wireless radar sensor mote integrating a Doppler radar into a sensor mote and its application in surveillance and target material classification

Khan Iftekharuddin, Muhammad M. R. Khan, Ernest McCracken, Lan Wang, Robert Kozma

Proceedings Volume 8134, 813403 (2011) https://doi.org/10.1117/12.890919

KEYWORDS: Radar, Sensors, Doppler effect, Reflectivity, Sensor networks, System integration, Radar sensor technology, Signal processing, Mathematical modeling, Infrared sensors

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Proceedings Article | 16 March 2011 Paper

Identifying glaucoma with multi-fractal features from optical coherence tomography (OCT)

P. Gunvant, P. Kim, K. Iftekharuddin, E. Essock

Proceedings Volume 7963, 79633S (2011) https://doi.org/10.1117/12.877741

KEYWORDS: Optical coherence tomography, Fractal analysis, Visualization, Diagnostics, Polarimetry, Tumors, Nerve, Visual optics, Tissues, Brain

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Proceedings Article | 16 March 2011 Paper

Feature-based glaucomatous progression prediction using scanning laser polarimetry (SLP) data

P. Kim, K. Iftekharuddin, P. Gunvant, M. Tóth, A. Garas, G. Holló, E. Essock

Proceedings Volume 7963, 79633T (2011) https://doi.org/10.1117/12.877744

KEYWORDS: Fractal analysis, Wavelets, Statistical analysis, Visualization, Polarimetry, Eye, Discrete wavelet transforms, Feature extraction, Nerve, Retina

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Proceedings Article | 8 September 2010 Paper

Image registration under affine transformation using cellular simultaneous recurrent networks

Khan Iftekharuddin, Keith Anderson

Proceedings Volume 7797, 77970E (2010) https://doi.org/10.1117/12.862316

KEYWORDS: Image registration, Computer architecture, Image processing, Neural networks, Network architectures, Binary data, Associative arrays, Neurons, Brain, Intelligence systems

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Proceedings Article | 24 February 2010 Paper

Efficacy of fractal analysis in identifying glaucomatous damage

P. Y. Kim, K. Iftekharuddin, P. Gunvant, M. Tóth, G. Holló, E. Essock

Proceedings Volume 7627, 76271G (2010) https://doi.org/10.1117/12.848428

KEYWORDS: Fractal analysis, Distance measurement, Principal component analysis, Nerve, Medical imaging, Neuroimaging, Brain, Data conversion, Eye, Retina

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Proceedings Article | 1 September 2009 Paper

Binary image registration using cellular simultaneous recurrent networks

Keith Anderson, Khan Iftekharuddin, Paul Kim

Proceedings Volume 7442, 74420C (2009) https://doi.org/10.1117/12.828473

KEYWORDS: Image registration, Image processing, Binary data, Computer architecture, Image restoration, Network architectures, Neural networks, Edge detection, Intelligence systems, Artificial neural networks

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Proceedings Article | 4 March 2009 Paper

Efficacy of texture, shape, and intensity features for robust posterior-fossa tumor segmentation in MRI

S. Ahmed, K. Iftekharuddin, R. Ogg, F. Laningham

Proceedings Volume 7260, 726020 (2009) https://doi.org/10.1117/12.813875

KEYWORDS: Tumors, Image segmentation, Magnetic resonance imaging, Fractal analysis, Feature selection, Brain, Expectation maximization algorithms, Feature extraction, Tissues, Medical imaging

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Proceedings Article | 3 September 2008 Paper

Single camera-based object detection and tracking for mobile robots

J. Keith Anderson, Khan Iftekharuddin, Elizabeth Threlkeld, Brad Montgomery

Proceedings Volume 7072, 70720T (2008) https://doi.org/10.1117/12.795123

KEYWORDS: Cameras, Video, Mobile robots, Robot vision, Corner detection, Distance measurement, Image processing, Robotics, Optical flow, Robotic systems

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Proceedings Article | 27 March 2008 Paper

Multifractal modeling, segmentation, prediction, and statistical validation of posterior fossa tumors

Atiq Islam, Khan Iftekharuddin, Robert Ogg, Fred Laningham, Bhuvaneswari Sivakumar

Proceedings Volume 6915, 69153C (2008) https://doi.org/10.1117/12.770902

KEYWORDS: Tumors, Image segmentation, Magnetic resonance imaging, Fractal analysis, Brain, Tissues, Wavelets, Neuroimaging, Mathematical modeling, Motion models

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Proceedings Article | 20 September 2007 Paper

A biologically inspired neural network model to transformation invariant object recognition

Khan Iftekharuddin, Yaqin Li, Faraz Siddiqui

Proceedings Volume 6695, 66950O (2007) https://doi.org/10.1117/12.736459

KEYWORDS: Object recognition, Computer programming, Databases, Detection and tracking algorithms, Neural networks, Image resolution, Stochastic processes, Visualization, Target recognition, Computer simulations

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Transformation invariant image recognition has been an active research area due to its widespread applications in a variety of fields such as military operations, robotics, medical practices, geographic scene analysis, and many others. The primary goal for this research is detection of objects in the presence of image transformations such as changes in resolution, rotation, translation, scale and occlusion. We investigate a biologically-inspired neural network (NN) model for such transformation-invariant object recognition. In a classical training-testing setup for NN, the performance is largely dependent on the range of transformation or orientation involved in training. However, an even more serious dilemma is that there may not be enough training data available for successful learning or even no training data at all. To alleviate this problem, a biologically inspired reinforcement learning (RL) approach is proposed. In this paper, the RL approach is explored for object recognition with different types of transformations such as changes in scale, size, resolution and rotation. The RL is implemented in an adaptive critic design (ACD) framework, which approximates the neuro-dynamic programming of an action network and a critic network, respectively. Two ACD algorithms such as Heuristic Dynamic Programming (HDP) and Dual Heuristic dynamic Programming (DHP) are investigated to obtain transformation invariant object recognition. The two learning algorithms are evaluated statistically using simulated transformations in images as well as with a large-scale UMIST face database with pose variations. In the face database authentication case, the 90° out-of-plane rotation of faces from 20 different subjects in the UMIST database is used. Our simulations show promising results for both designs for transformation-invariant object recognition and authentication of faces. Comparing the two algorithms, DHP outperforms HDP in learning capability, as DHP takes fewer steps to perform a successful recognition task in general. Further, the residual critic error in DHP is generally smaller than that of HDP, and DHP achieves a 100% success rate more frequently than HDP for individual objects/subjects. On the other hand, HDP is more robust than the DHP as far as success rate across the database is concerned when applied in a stochastic and uncertain environment, and the computational time involved in DHP is more.

Proceedings Article | 8 September 2006 Paper

A reinforcement learning approach in rotated image recognition and its convergence analysis

Khan Iftekharuddin, Yaqin Li

Proceedings Volume 6310, 63100N (2006) https://doi.org/10.1117/12.681237

KEYWORDS: Automatic target recognition, Target recognition, Computer programming, Neural networks, Detection and tracking algorithms, Error analysis, Object recognition, Control systems, Dynamical systems, Numerical simulations

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Proceedings Article | 8 September 2006 Paper

Visualizing differentially expressed genes

Atiq Islam, Khan Iftekharuddin, David Russomanno

Proceedings Volume 6310, 63100O (2006) https://doi.org/10.1117/12.681433

KEYWORDS: Tissues, Visualization, Statistical analysis, Data modeling, Prototyping, Statistical methods, Tumors, Analytical research, Statistical modeling, Solids

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Proceedings Article | 15 September 2005 Paper

Natural image classification in nonlinear network model

Hanif Azhar, Khan Iftekharuddin, Robert Kozma, Abhinav Admala

Proceedings Volume 5907, 59070P (2005) https://doi.org/10.1117/12.619816

KEYWORDS: Image classification, Systems modeling, Data modeling, Feature extraction, Olfactory system, Sensors, Neural networks, Mathematical modeling, Distance measurement, Computer simulations

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SPIE Journal Paper | 1 June 2005

Analytical derivation of distortion constraints and their verification in a learning vector quantization-based target recognition system

Khan Iftekharuddin, Mohammad Razzaque

OE, Vol. 44, Issue 06, 067201, (June 2005) https://doi.org/10.1117/12.10.1117/1.1931472

KEYWORDS: Automatic target recognition, Synthetic aperture radar, Detection and tracking algorithms, Target recognition, Image filtering, Distortion, Feature extraction, Image processing, Optical engineering, Fourier transforms

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Proceedings Article | 19 May 2005 Paper

Techniques in biologically inspired computational vision

Khan Iftekharuddin

Proceedings Volume 5781, (2005) https://doi.org/10.1117/12.609115

KEYWORDS: Visualization, Image resolution, Image filtering, Data processing, Sensors, Image processing, Visual process modeling, Computer vision technology, Retina, Visual cortex

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Proceedings Article | 29 April 2005 Paper

Automatic brain tumor detection in MRI: methodology and statistical validation

Khan Iftekharuddin, Mohammad Islam, Jahangheer Shaik, Carlos Parra, Robert Ogg

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.595931

KEYWORDS: Image segmentation, Tumors, Magnetic resonance imaging, Tissues, Brain, Fractal analysis, Neuroimaging, Wavelets, Feature extraction, Neural networks

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Proceedings Article | 4 November 2004 Paper

Probabilistic detection and tracking of IR targets

Jahangheer Shaik, Khan Iftekharuddin

Proceedings Volume 5556, (2004) https://doi.org/10.1117/12.561089

KEYWORDS: Image segmentation, Detection and tracking algorithms, Image classification, Automatic target recognition, Image processing algorithms and systems, Infrared imaging, Image processing, Target detection, Infrared search and track, Binary data

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Proceedings Article | 12 December 2003 Paper

Fringe-adjusted JTC-based target detection and tracking using subframes from a video sequence

Mohammad Alam, M. Huq, Jasmin Khan, H. Kettani, Abdul Ahad Awwal, Khan Iftekharuddin

Proceedings Volume 5201, (2003) https://doi.org/10.1117/12.502017

KEYWORDS: Target detection, Detection and tracking algorithms, Image segmentation, Video, Fourier transforms, Image enhancement, Optical correlators, Image filtering, Joint transforms, Target recognition

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Proceedings Article | 12 December 2003 Paper

Distorted IR target detection and tracking using composite filters

Khan Iftekharuddin, Jahangheer Shaik

Proceedings Volume 5201, (2003) https://doi.org/10.1117/12.503885

KEYWORDS: Detection and tracking algorithms, Image filtering, Optical filters, Infrared imaging, Electronic filtering, Automatic target recognition, Nonlinear filtering, Phase only filters, Composites, Target detection

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Proceedings Article | 13 November 2003 Paper

Multiresolution-fractal feature extraction and tumor detection: analytical model and implementation

Khan Iftekharuddin, Carlos Parra

Proceedings Volume 5207, (2003) https://doi.org/10.1117/12.504091

KEYWORDS: Wavelets, Fractal analysis, Tumors, Image processing, Medical imaging, Motion models, Tissues, Computed tomography, Brain, Time-frequency analysis

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SPIE Journal Paper | 1 December 2002

Harmonic wavelet joint transform correlator: analysis, algorithm, and application to image de-noising

Khan Iftekharuddin

OE, Vol. 41, Issue 12, (December 2002) https://doi.org/10.1117/12.10.1117/1.1519245

KEYWORDS: Wavelets, Synthetic aperture radar, Image processing, Optical correlators, Speckle, Fourier transforms, Denoising, Device simulation, Image filtering, Discrete wavelet transforms

Proceedings Article | 15 November 2002 Paper

Hilbert-wavelet transform for recognition of image rotation

Khan Iftekharuddin, Jahangheer Shaik, Abdul Ahad Awwal, Mohammad Alam

Proceedings Volume 4788, (2002) https://doi.org/10.1117/12.451647

KEYWORDS: Wavelets, Fourier transforms, Linear filtering, Infrared imaging, Distortion, Image processing, Detection and tracking algorithms, Image registration, Optical filters, Wavelet transforms

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Proceedings Article | 15 November 2002 Paper

New metric for 3D optical pattern recognition system

Abdul Ahad Awwal, Karl Gudmundsson, M. Tabrez, M. Rahman, Mohammad Alam, Khan Iftekharuddin

Proceedings Volume 4788, (2002) https://doi.org/10.1117/12.453729

KEYWORDS: 3D acquisition, 3D modeling, Databases, Pattern recognition, Phase only filters, Optical pattern recognition, Target recognition, Automatic target recognition, Spatial light modulators, Computing systems

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Proceedings Article | 6 March 2002 Paper

Correlators for rank order shape similarity measurement

Jason Gregga, Gregory Power, Khan Iftekharuddin

Proceedings Volume 4734, (2002) https://doi.org/10.1117/12.458407

KEYWORDS: Optical correlators, Phase only filters, Sensors, Image segmentation, Optical pattern recognition, Electronic filtering, Fourier transforms, Correlation function, Computer engineering, Tolerancing

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Proceedings Article | 6 December 2001 Paper

Intraclass classification of tumor in brain MR images

Khan Iftekharuddin

Proceedings Volume 4470, (2001) https://doi.org/10.1117/12.449659

KEYWORDS: Image classification, Magnetic resonance imaging, Tumors, Detection and tracking algorithms, Neuroimaging, Brain, Edge detection, Feature extraction, Algorithm development, Gaussian filters

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SPIE Journal Paper | 1 November 2001

A signed digit adder using electronically addressable spatial light modulator

Khan Iftekharuddin, Abdul Ahad Awwal, Mohammad Salam

OE, Vol. 40, Issue 11, (November 2001) https://doi.org/10.1117/12.10.1117/1.1412615

KEYWORDS: Spatial light modulators, Binary data, Charge-coupled devices, Content addressable memory, Very large scale integration, Signal processing, Logic, CCD image sensors, Optical computing, Symbolic substitution

SPIE Journal Paper | 1 November 2001 Open Access

Optical Computing Systems, Materials, and Devices

Abdul A. Awwal, Khan Iftekharuddin

OE, Vol. 40, Issue 11, (November 2001) https://doi.org/10.1117/12.10.1117/1.1421046

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Proceedings Article | 30 July 2001 Paper

Optical interconnection networks for switching

Khan Iftekharuddin

Proceedings Volume 4532, (2001) https://doi.org/10.1117/12.436037

KEYWORDS: Optical interconnects, Switching, Holography, Holograms, Waveguides, Spatial light modulators, Free space optics, Data communications, Crystals, Beam splitters

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Proceedings Article | 29 November 2000 Paper

Constraints in distortion-invariant target recognition system simulation

Khan Iftekharuddin, Md Razzaque

Proceedings Volume 4114, (2000) https://doi.org/10.1117/12.408559

KEYWORDS: Detection and tracking algorithms, Target recognition, Automatic target recognition, Image filtering, Fourier transforms, Feature extraction, Image processing, Neurons, Computer simulations, Neural networks

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SPIE Journal Paper | 1 May 2000

Orthogonal wavelets in nonlinear speckle reduction for improved target recognition

Khan Iftekharuddin

OE, Vol. 39, Issue 05, (May 2000) https://doi.org/10.1117/12.10.1117/1.602478

KEYWORDS: Wavelets, Synthetic aperture radar, Speckle, Image processing, Fourier transforms, Discrete wavelet transforms, Automatic target recognition, Denoising, Image compression, Optical correlators

Proceedings Article | 31 March 2000 Paper

Characterization of harmonic wavelet joint transform (HWJT) in image de-noising

Md Razzaque, Khan Iftekharuddin

Proceedings Volume 4043, (2000) https://doi.org/10.1117/12.381587

KEYWORDS: Wavelets, Joint transforms, Image processing, Optical correlators, Transform theory, Synthetic aperture radar, Wavelet transforms, Signal processing, Fourier transforms, Linear filtering

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Proceedings Article | 1 October 1999 Paper

Detection of targets varying in fine details, rotation, and translation

R. Chitralekha, Khan Iftekharuddin

Proceedings Volume 3805, (1999) https://doi.org/10.1117/12.363989

KEYWORDS: Detection and tracking algorithms, Target recognition, Automatic target recognition, Target detection, Feature extraction, Fourier transforms, Neural networks, Image processing, Optical filters, Quantization

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SPIE Journal Paper | 1 March 1999

Graphical approach for multiple values logic minimization

Abdul Ahad Awwal, Khan Iftekharuddin

OE, Vol. 38, Issue 03, (March 1999) https://doi.org/10.1117/12.10.1117/1.602123

KEYWORDS: Logic, Binary data, Content addressable memory, Computer programming, Digital electronics, Visualization, Photomasks, Free space optics, Optical engineering, Light emitting diodes

SPIE Journal Paper | 1 March 1999

Characterization of intensity-coded multivalued logic circuit implementation

Khan Iftekharuddin, Abdul Ahad Awwal, Arshad Chowdhury

OE, Vol. 38, Issue 03, (March 1999) https://doi.org/10.1117/12.10.1117/1.602128

KEYWORDS: Logic, Signal to noise ratio, Light emitting diodes, Binary data, Logic devices, Photomasks, Optical engineering, Computing systems, Sensors, Computer science

SPIE Journal Paper | 1 March 1999 Open Access

Guest Editorial: Special Section on Computer Arithmetic for Optical Computing

Abdul Awwal, Khan Iftekharuddin

OE, Vol. 38, Issue 03, (March 1999) https://doi.org/10.1117/12.10.1117/1.602040

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SPIE Journal Paper | 1 March 1998

Multiobject detection of targets with fine details, scale and translation variations

S. Diab, Mohammad Karim, Khan Iftekharuddin

OE, Vol. 37, Issue 03, (March 1998) https://doi.org/10.1117/12.10.1117/1.601921

KEYWORDS: Target detection, Detection and tracking algorithms, Neural networks, Neurons, Automatic target recognition, Target recognition, Feature extraction, Image processing, Optical engineering, Algorithm development

Proceedings Article | 23 June 1997 Paper

Scale- and translation-invariant detection of targets varying in fine details

S. Diab, Mohammad Karim, Khan Iftekharuddin

Proceedings Volume 3069, (1997) https://doi.org/10.1117/12.277114

KEYWORDS: Detection and tracking algorithms, Target detection, Neural networks, Image processing, Algorithm development, Target recognition, Automatic target recognition, Neurons, Quantization, Evolutionary algorithms

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SPIE Journal Paper | 1 July 1996

Wavelet preprocessed amplitude-modulated phase-only filter for recognition applications

Khan Iftekharuddin, Theresa Tuthill, Mohammad Karim, Kanaan Jemili

OE, Vol. 35, Issue 07, (July 1996) https://doi.org/10.1117/12.10.1117/1.600764

SPIE Journal Paper | 1 April 1996

Rotation-invariant target recognition using an amplitude-coupled minimum-average correlation-energy filter

Khan Iftekharuddin, Farid Ahmed, Mohammad Karim

OE, Vol. 35, Issue 04, (April 1996) https://doi.org/10.1117/12.10.1117/1.600717

KEYWORDS: Detection and tracking algorithms, Image filtering, Synthetic aperture radar, Optical filters, Target recognition, Phase only filters, Automatic target recognition, Optical correlators, Signal to noise ratio, Composites

Proceedings Article | 22 March 1996 Paper

Wavelet packet-based nonlinear speckle reduction in optical synthetic aperture radar image analysis

Khan Iftekharuddin, Theresa Tuthill

Proceedings Volume 2762, (1996) https://doi.org/10.1117/12.236003

KEYWORDS: Speckle, Wavelets, Synthetic aperture radar, Image processing, Radar, Image analysis, Signal to noise ratio, Detection and tracking algorithms, Antennas, Wavelet transforms

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SPIE Journal Paper | 1 November 1995

Feature-based neural wavelet optical character recognition system

Khan Iftekharuddin, Terry Schechinger, Kanaan Jemili, Mohammad Karim

OE, Vol. 34, Issue 11, (November 1995) https://doi.org/10.1117/12.10.1117/12.213654

KEYWORDS: Wavelets, Feature extraction, Optical character recognition, Optical filters, Image filtering, Optical correlators, Discrete wavelet transforms, Wavelet transforms, Databases, Binary data

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Proceedings Article | 6 April 1995 Paper

Wavelet preprocessed amplitude-modulated phase-only filter for recognition applications

Khan Iftekharuddin, Mohammad Karim, Kanaan Jemili

Proceedings Volume 2491, (1995) https://doi.org/10.1117/12.205377

KEYWORDS: Wavelets, Signal to noise ratio, Discrete wavelet transforms, Synthetic aperture radar, Fourier transforms, Bandpass filters, Phase only filters, Optical correlators, Interference (communication), Image processing

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SPIE Journal Paper | 1 November 1993

Acquisition by staring focal-plane arrays: pixel geometry effects

Khan Iftekharuddin, Mohammad Karim

OE, Vol. 32, Issue 11, (November 1993) https://doi.org/10.1117/12.10.1117/12.148091

KEYWORDS: Signal detection, Modulation transfer functions, Staring arrays, Sensors, Detector arrays, Interference (communication), Point spread functions, Fourier transforms, Spatial frequencies, Detection and tracking algorithms

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Showing 5 of 93 publications

Proceedings Volume Editor (34)

SPIE Conference Volume | 25 October 2024

Applications of Machine Learning 2024

SPIE Conference Volume | 4 October 2024

Optics and Photonics for Information Processing XVIII

SPIE Conference Volume | 18 October 2023

Applications of Machine Learning 2023

SPIE Conference Volume | 17 October 2023

Optics and Photonics for Information Processing XVII

SPIE Conference Volume | 4 May 2023

Medical Imaging 2023: Computer-Aided Diagnosis

Showing 5 of 34 publications

Conference Committee Involvement (56)

Applications of Machine Learning 2025

3 August 2025 | San Diego, California, United States

Optics and Photonics for Information Processing XIX

3 August 2025 | San Diego, California, United States

Pattern Recognition and Prediction XXXVI

16 April 2025 | Orlando, Florida, United States

Computer-Aided Diagnosis

17 February 2025 | San Diego, California, United States

Optics and Photonics for Information Processing XVIII

21 August 2024 | San Diego, California, United States

Applications of Machine Learning 2024

20 August 2024 | San Diego, California, United States

Pattern Recognition and Prediction XXXV

24 April 2024 | National Harbor, Maryland, United States

Computer-Aided Diagnosis

19 February 2024 | San Diego, California, United States

Applications of Machine Learning 2023

23 August 2023 | San Diego, California, United States

Optics and Photonics for Information Processing XVII

23 August 2023 | San Diego, California, United States

Pattern Recognition and Tracking XXXIV

3 May 2023 | Orlando, Florida, United States

Computer-Aided Diagnosis

20 February 2023 | San Diego, California, United States

Optics and Photonics for Information Processing XVI

24 August 2022 | San Diego, California, United States

Applications of Machine Learning 2022

23 August 2022 | San Diego, California, United States

Pattern Recognition and Tracking XXXIII

4 April 2022 | Orlando, Florida, United States

Computer-Aided Diagnosis

21 February 2022 | San Diego, California, United States

Applications of Machine Learning 2021

4 August 2021 | San Diego, California, United States

Optics and Photonics for Information Processing XV

4 August 2021 | San Diego, California, United States

Pattern Recognition and Tracking XXXII

12 April 2021 | Online Only, Florida, United States

Computer-Aided Diagnosis

15 February 2021 | Online Only, California, United States

Applications of Machine Learning 2020

23 August 2020 | Online Only, California, United States

Optics and Photonics for Information Processing XIV

23 August 2020 | Online Only, California, United States

Pattern Recognition and Tracking XXXI

27 April 2020 | Online Only, California, United States

Computer-Aided Diagnosis

16 February 2020 | Houston, Texas, United States

Applications of Machine Learning

13 August 2019 | San Diego, California, United States

Optics and Photonics for Information Processing XIII

13 August 2019 | San Diego, California, United States

Pattern Recognition and Tracking XXX

15 April 2019 | Baltimore, MD, United States

Computer-Aided Diagnosis

17 February 2019 | San Diego, California, United States

Optics and Photonics for Information Processing XII

19 August 2018 | San Diego, California, United States

Pattern Recognition and Tracking XXIX

18 April 2018 | Orlando, FL, United States

Computer-Aided Diagnosis

12 February 2018 | Houston, Texas, United States

Optics and Photonics for Information Processing XI

7 August 2017 | San Diego, California, United States

Pattern Recognition and Tracking XXVIII

12 April 2017 | Anaheim, CA, United States

Computer-Aided Diagnosis

13 February 2017 | Orlando, Florida, United States

Computer-Aided Diagnosis Posters

13 February 2017 | Orlando, FL, United States

Optics and Photonics for Information Processing X

29 August 2016 | San Diego, California, United States

Computer-Aided Diagnosis

28 February 2016 | San Diego, California, United States

Optics and Photonics for Information Processing IX

10 August 2015 | San Diego, California, United States

Computer-Aided Diagnosis

22 February 2015 | Orlando, Florida, United States

Optics and Photonics for Information Processing VIII

18 August 2014 | San Diego, California, United States

Computer-Aided Diagnosis

18 February 2014 | San Diego, California, United States

Optics and Photonics for Information Processing VII

28 August 2013 | San Diego, California, United States

Optics and Photonics for Information Processing VI

15 August 2012 | San Diego, California, United States

Optics and Photonics for Information Processing V

24 August 2011 | San Diego, California, United States

Optics and Photonics for Information Processing IV

3 August 2010 | San Diego, California, United States

Optics and Photonics for Information Processing III

4 August 2009 | San Diego, California, United States

Optics and Photonics for Information Processing II

13 August 2008 | San Diego, California, United States

Optics and Photonics for Information Processing

28 August 2007 | San Diego, California, United States

Photonic Devices and Algorithms for Computing VIII

14 August 2006 | San Diego, California, United States

Photonic Devices and Algorithms for Computing VII

1 August 2005 | San Diego, California, United States

Photonic Devices and Algorithms for Computing VI

2 August 2004 | Denver, Colorado, United States

Photonic Devices and Algorithms for Computing V

6 August 2003 | San Diego, California, United States

Photonic Devices and Algorithms for Computing IV

8 July 2002 | Seattle, WA, United States

Photonic Devices and Algorithms for Computing III

29 July 2001 | San Diego, CA, United States

Photonic Devices and Algorithms for Computing II

2 August 2000 | San Diego, CA, United States

Photonic Devices and Algorithms for Computing

22 July 1999 | Denver, CO, United States

Showing 5 of 56 Conference Committees

Course Instructor

SC661: Image Processing and Applications

This course presents both fundamental and advanced concepts useful in different aspects of optical, digital, biomedical and multimedia image processing. It is aimed at people interested in learning practical applications of image processing techniques for solving biomedical image modeling and recognition, video image segmentation, feature extraction, statistical modeling and automatic target recognition (ATR) problems. This course will review fundamentals of image processing and recent progress in image segmentation, modeling and feature extraction. Qualitative insight into the mathematical operations performed by image processing functions will be provided.

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