Dr. Ryan A. Kerekes Profile

Dr. Ryan A. Kerekes

at Oak Ridge National Lab

SPIE Involvement:

Author

Publications (10)

Proceedings Article | 14 March 2011 Paper

Automatic detection, segmentation and characterization of retinal horizontal neurons in large-scale 3D confocal imagery

Mahmut Karakaya, Ryan Kerekes, Shaun Gleason, Rodrigo A. Martins, Michael Dyer

Proceedings Volume 7962, 79622J (2011) https://doi.org/10.1117/12.878029

KEYWORDS: Dendrites, Neurons, Image segmentation, Confocal microscopy, 3D image processing, Network security, Retina, Spatial resolution, Feature extraction, Image processing algorithms and systems

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Proceedings Article | 5 May 2010 Paper

Design of dual-road transportable portal monitoring system for visible light and gamma-ray imaging

Thomas Karnowski, Mark Cunningham, James Goddard, Anil Cheriyadat, Donald Hornback, Lorenzo Fabris, Ryan Kerekes, Klaus-Peter Ziock, E. Craig Bradley, J. Chesser, W. Marchant

Proceedings Volume 7665, 76651J (2010) https://doi.org/10.1117/12.850191

KEYWORDS: Cameras, Imaging systems, Gamma radiation, Machine vision, Calibration, Video, Roads, Gamma ray imaging, Image resolution, Motion estimation

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Proceedings Article | 13 March 2010 Paper

Automated method for tracing leading and trailing processes of migrating neurons in confocal image sequences

Ryan Kerekes, Shaun Gleason, Niraj Trivedi, David Solecki

Proceedings Volume 7623, 76233T (2010) https://doi.org/10.1117/12.843851

KEYWORDS: Neurons, Image processing, Video, Confocal microscopy, Luminescence, Proteins, Video processing, Image segmentation, Green fluorescent protein, Fluorescent proteins

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Proceedings Article | 29 January 2010 Paper

Motion estimation accuracy for visible-light/gamma-ray imaging fusion for portable portal monitoring

Thomas Karnowski, Mark Cunningham, James Goddard, Anil Cheriyadat, Donald Hornback, Lorenzo Fabris, Ryan Kerekes, Klaus-Peter Ziock, Timothy Gee

Proceedings Volume 7538, 75380F (2010) https://doi.org/10.1117/12.838428

KEYWORDS: Motion estimation, Imaging systems, Machine vision, Cameras, Gamma radiation, Error analysis, Gamma ray imaging, Roads, Stereoscopic cameras, Sensors

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SPIE Journal Paper | 1 June 2008

Selecting a composite correlation filter design: a survey and comparative study

Ryan Kerekes, B.V.K. Vijaya Kumar

OE, Vol. 47, Issue 06, 067202, (June 2008) https://doi.org/10.1117/12.10.1117/1.2943217

KEYWORDS: Image filtering, Linear filtering, Optical filters, Signal to noise ratio, Composites, Missiles, Distortion, Optical engineering, Nonlinear filtering, Tolerancing

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Proceedings Article | 17 March 2008 Paper

Multiple target detection in video using quadratic multi-frame correlation filtering

Ryan Kerekes, B. V. K. Vijaya Kumar

Proceedings Volume 6977, 697705 (2008) https://doi.org/10.1117/12.777822

KEYWORDS: Image filtering, Target detection, Neon, Motion models, Detection and tracking algorithms, Video, Linear filtering, Target recognition, Sensors, Nonlinear filtering

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Proceedings Article | 17 April 2006 Paper

Multiframe distortion-tolerant correlation filtering for video sequences

R. Kerekes, B. Narayanaswamy, M. Beattie, B. V. K. Vijaya Kumar, M. Savvides

Proceedings Volume 6245, 624509 (2006) https://doi.org/10.1117/12.665553

KEYWORDS: Image filtering, Detection and tracking algorithms, Target recognition, Video, Optical filters, Distortion, Convolution, Automatic target recognition, Motion models, Target detection

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Proceedings Article | 19 May 2005 Paper

Fractional power scale-tolerant correlation filters for enhanced automatic target recognition performance

Ryan Kerekes, Marios Savvides, B. V. K. Vijaya Kumar, S. Richard Sims

Proceedings Volume 5807, (2005) https://doi.org/10.1117/12.603689

KEYWORDS: Image filtering, Electronic filtering, Distortion, Target recognition, Automatic target recognition, Target detection, Optical filters, Detection and tracking algorithms, Video, Long wavelength infrared

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Correlation filters are attractive for automatic target recognition (ATR) applications due to such attributes as shift invariance, distortion tolerance and graceful degradation. Composite correlation filters are designed to handle target distortions by training on a set of images that represent the expected distortions during testing. However, if the distortion can be described algebraically, as in the case of in-plane rotation and scale, then only one training image is necessary. A recently introduced scale-tolerant correlation filter design, called the Minimum Average Correlation Energy Mellin Radial Harmonic (MACE-MRH) filter, exploits this algebraic property and allows the user to specify the scale response of the filter. These filters also minimize the average correlation energy in order to help control the sidelobes in the correlation output and produce sharper, more detectable peaks. In this paper we show that applying non-linearities in the frequency domain (leading to fractional power scale-tolerant correlation filters) can significantly improve the resulting peak sharpness, yielding larger peak-to-correlation energy values for true-class targets at various scales in a scene image. We investigate the effects of fractional power transformations on MACE-MRH filter performance by using a testbed of fifty video sequences consisting of long-wave infrared (LWIR) imagery, in which the observer moves along a flight path toward one or more ground targets of interest. Targets in the test sequences suffer large amounts of scale distortion due to the approach trajectory of the camera. MACE-MRH filter banks are trained on single targets and applied to each sequence on a frame-by-frame basis to perform target detection and recognition. Recognition results from both fractional power MACE-MRH filters and regular MACE-MRH filters are provided, showing the improvement in scale-tolerant recognition from applying fractional power non-linearities to these filters.

Proceedings Article | 19 May 2005 Paper

Estimating performance limits for automatic target recognition in compressed video

Ryan Kerekes, B. V. K. Vijaya Kumar, S. Richard Sims

Proceedings Volume 5807, (2005) https://doi.org/10.1117/12.602958

KEYWORDS: Image filtering, Target recognition, Video compression, Video, Image compression, Automatic target recognition, Distortion, Target detection, Databases, Electronic filtering

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Proceedings Article | 1 May 2003 Paper

Two methods for tracking small animals in SPECT imaging

Ryan Kerekes, James Goddard, Shaun Gleason, Michael Paulus, Andrew Weisenberger, M. Smith, B. Welch

Proceedings Volume 5132, (2003) https://doi.org/10.1117/12.514951

KEYWORDS: Cameras, Calibration, Single photon emission computed tomography, Imaging systems, Profiling, Laser systems engineering, Reflectivity, Reflectors, 3D metrology, Infrared imaging

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Showing 5 of 10 publications

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