Dr. Cameron H.G. Wright Profile

Dr. Cameron H.G. Wright

Professor of Electrical and Computer Engineering

SPIE Involvement:

Author

Area of Expertise:

imaging systems , vision sensors , digital cameras , digital image processing , digital signal processing , biomedical instrumentation

Websites:

Company Website

Publications (24)

SPIE Journal Paper | 4 January 2018

Salt-and-pepper noise removal using modified mean filter and total variation minimization

Mickael Aghajarian, John McInroy, Cameron H. Wright

JEI, Vol. 27, Issue 01, 013002, (January 2018) https://doi.org/10.1117/12.10.1117/1.JEI.27.1.013002

KEYWORDS: Image restoration, Fuzzy systems, Image filtering, Digital filtering, Image processing, Image quality, Denoising, Image denoising, Convex optimization, Signal to noise ratio

Read Abstract +

Proceedings Article | 13 May 2015 Paper

Biomimetic optical sensor for aerospace applications

Susan Frost, George Gorospe, Cameron H. Wright, Steven Barrett

Proceedings Volume 9480, 94800M (2015) https://doi.org/10.1117/12.2176662

KEYWORDS: Sensors, Head, Eye, Diodes, Superposition, Biomimetics, Optical sensors, Fiber optics sensors, Aerospace engineering, Visualization

Read Abstract +

Proceedings Article | 8 March 2014 Paper

Bio-mimetic optical sensor for structural deflection measurement

Susan Frost, Cameron Wright, Robert Streeter, Md. Khan, Steven Barrett

Proceedings Volume 9055, 90550A (2014) https://doi.org/10.1117/12.2044975

KEYWORDS: Sensors, Optical sensors, Fiber optics sensors, Aerodynamics, Safety, Measurement devices, Global Positioning System, Fiber optics tests, Fiber optics

Read Abstract +

Proceedings Article | 23 March 2011 Paper

Bioinspired vision sensors with hyperacuity

Steven Barrett, Cameron H. Wright

Proceedings Volume 7975, 797508 (2011) https://doi.org/10.1117/12.880474

KEYWORDS: Sensors, Analog electronics, Motion models, Image processing, Imaging systems, 3D image processing, Visual process modeling, Sensor performance, Electrophysiology, Biomimetics

Read Abstract +

SPIE Journal Paper | 1 July 2006 Open Access

Design and development of a computer-assisted retinal laser surgery system

Cameron Wright, Steven Barrett, Ashley Welch

JBO, Vol. 11, Issue 04, 041127, (July 2006) https://doi.org/10.1117/12.10.1117/1.2342465

KEYWORDS: Eye, Retina, Computing systems, Laser therapeutics, Reflectivity, Reflectometry, Laser systems engineering, Analog electronics, Argon ion lasers, Confocal microscopy

Read Abstract +

DOWNLOAD PAPER

Proceedings Article | 6 February 2006 Paper

Quantitative and qualitative performance comparison of a biomimetic vision sensor with commercial CCD camera sensors

Roopa Prabhakara, Cameron Wright, Steven Barrett, William Harman

Proceedings Volume 6068, 60680E (2006) https://doi.org/10.1117/12.650841

KEYWORDS: Sensors, CCD image sensors, Eye, CCD cameras, Charge-coupled devices, Biomimetics, CMOS sensors, Machine vision, Computer vision technology, Image sensors

Read Abstract +

Proceedings Article | 16 May 2005 Paper

Musca domestica inspired machine vision system with hyperacuity

Dylan Riley, William Harman, Eric Tomberlin, Steven Barrett, Michael Wilcox, Cameron Wright

Proceedings Volume 5758, (2005) https://doi.org/10.1117/12.593797

KEYWORDS: Sensors, Machine vision, Analog electronics, Eye, Image processing, Photodiodes, Prototyping, Imaging systems, Chemical elements, Visualization

Read Abstract +

Proceedings Article | 11 March 2005 Paper

Approach to reduce the computational image processing requirements for a computer vision system using sensor preprocessing and the Hotelling transform

Thomas Schei, Cameron Wright, Daniel Pack

Proceedings Volume 5674, (2005) https://doi.org/10.1117/12.587056

KEYWORDS: Sensors, Eye, Computing systems, Machine vision, Computer vision technology, Image sensors, Eye models, Image compression, CCD image sensors, Image processing

Read Abstract +

Proceedings Article | 21 May 2004 Paper

Computational image processing for a computer vision system using biomimetic sensors and eigenspace object models

Cameron Wright, Steven Barrett, Daniel Pack, Thomas Schei, Jeffrey Anderson, Michael Wilcox

Proceedings Volume 5299, (2004) https://doi.org/10.1117/12.525146

KEYWORDS: Sensors, Object recognition, Computing systems, Image sensors, Visual process modeling, Biomimetics, Detection and tracking algorithms, Image processing, Machine vision, Computer vision technology

Read Abstract +

Two challenges to an effective, real-world computer vision system are speed and reliable object recognition. Traditional computer vision sensors such as CCD arrays take considerable time to transfer all the pixel values for each image frame to a processing unit. One way to bypass this bottleneck is to design a sensor front-end which uses a biologically-inspired analog, parallel design that offers preprocessing and adaptive circuitry that can produce edge maps in real-time. This biomimetic sensor is based on the eye of the common house fly (Musca domestica). Additionally, this sensor has demonstrated an impressive ability to detect objects at subpixel resolution. However, the format of the image information provided by such a sensor is not a traditional bitmap transfer of the image format and, therefore, requires novel computational manipulations to make best use of this sensor output. The real-world object recognition challenge is being addressed by using a subspace method which uses eigenspace object models created from multiple reference object appearances. In past work, the authors have successfully demonstrated image object recognition techniques for surveillance images of various military targets using such eigenspace appearance representations. This work, which was later extended to partially occluded objects, can be generalized to a wide variety of object recognition applications. The technique is based upon a large body of eigenspace research described elsewhere. Briefly described, the technique creates target models by collecting a set of target images and finding a set of eigenvectors that span the target image space. Once the eigenvectors are found, an eigenspace model (also called a subspace model) of the target is generated by projecting target images on to the eigenspace. New images to be recognized are then projected on to the eigenspace for object recognition. For occluded objects, we project the image on to reduced dimensional subspaces of the original eigenspace (i.e., a “subspace of a subspace” or a “sub-eigenspace”). We then measure how close a match we can achieve when the occluded target image is projected on to a given sub-eigenspace. We have found that this technique can result in significantly improved recognition of occluded objects. In order to manage the combinatorial “explosion” associated with selecting the number of subspaces required and then projecting images on to those sub-eigenspaces for measurement, we use a variation on the A* (called “A-star”) search method. The challenge of tying these two subsystems (the biomimetic sensor and the subspace object recognition module) together into a coherent and robust system is formidable. It requires specialized computational image and signal processing techniques that will be described in this paper, along with preliminary results. The authors believe that this approach will result in a fast, robust computer vision system suitable for the non-ideal real-world environment.

SPIE Journal Paper | 1 April 2002 Open Access

Computer-assisted laser photocoagulation of the retina: a hybrid tracking approach

Espen Naess, Torstein Molvik, Dustin Ludwig, Steven Barrett, Stanislaw Legowski, Cameron Wright, Peter de Graaf

JBO, Vol. 7, Issue 02, (April 2002) https://doi.org/10.1117/12.10.1117/1.1461831

KEYWORDS: Retina, Analog electronics, Reflectivity, Reflectometry, Beam splitters, Laser coagulation, Mirrors, Laser therapeutics, Eye, Prototyping

DOWNLOAD PAPER

SPIE Journal Paper | 1 July 2001

Efficiently tracking a moving object in two-dimensional image space

Steven Barrett, Cameron Wright, Harry Zwick, Michael Wilcox, Benjamin Rockwell, Espen Naess

JEI, Vol. 10, Issue 03, (July 2001) https://doi.org/10.1117/12.10.1117/1.1380202

KEYWORDS: Detection and tracking algorithms, Retina, Algorithm development, Video, Eye, Head, Laser coagulation, Cameras, Scanning laser ophthalmoscopy, Electrical engineering

Proceedings Article | 7 June 2001 Paper

Irradiation control parameters for computer-assisted laser photocoagulation of the retina

Espen Naess, Torstein Molvik, Steven Barrett, Cameron Wright, Peter de Graaf

Proceedings Volume 4245, (2001) https://doi.org/10.1117/12.429283

KEYWORDS: Analog electronics, Retina, Reflectometry, Reflectivity, Imaging systems, Laser therapeutics, Laser coagulation, Eye, Mirrors, Optical tracking

Read Abstract +

Proceedings Article | 3 May 2000 Paper

Hybrid digital/analog retinal-tracking system

Steven Barrett, Peter de Graaf, Cameron Wright

Proceedings Volume 3911, (2000) https://doi.org/10.1117/12.384897

KEYWORDS: Reflectivity, Retina, Laser coagulation, Reflectometry, Confocal microscopy, Analog electronics, Laser energy, Optical tracking, Laser tissue interaction, Mirrors

Read Abstract +

SPIE Journal Paper | 1 January 2000 Open Access

Initial in vivo results of a hybrid retinal photocoagulation system

Cameron Wright, Steven Barrett, R. Ferguson, Henry Rylander, Ashley Welch

JBO, Vol. 5, Issue 01, (January 2000) https://doi.org/10.1117/12.10.1117/1.429969

KEYWORDS: Analog electronics, Eye, Retina, In vivo imaging, Human-machine interfaces, Laser coagulation, Mirrors, Laser therapeutics, Optical tracking, Blood vessels

DOWNLOAD PAPER

Proceedings Article | 4 October 1999 Paper

Signal processing for robotically assisted laser photocoagulation of the retina

Cameron Wright, Peter de Graaf, Steven Barrett, R. Ferguson

Proceedings Volume 3809, (1999) https://doi.org/10.1117/12.364020

KEYWORDS: Reflectivity, Retina, Analog electronics, Mirrors, Laser coagulation, Signal processing, Optical tracking, Reflectometry, Eye, Signal detection

Read Abstract +

Proceedings Article | 1 June 1998 Paper

Hybrid retinal tracking and coagulation system

Cameron Wright, Erik Oberg, Steven Barrett

Proceedings Volume 3246, (1998) https://doi.org/10.1117/12.309430

KEYWORDS: Beam splitters, Retina, Reflectivity, Mirrors, Reflectometry, Confocal microscopy, Analog electronics, Camera shutters, Control systems, Fiber lasers

Read Abstract +

Proceedings Article | 26 May 1997 Paper

Hybrid retinal photocoagulation system

Cameron Wright, Steven Barrett, R. Ferguson, Henry Rylander, Ashley Welch

Proceedings Volume 2971, (1997) https://doi.org/10.1117/12.275101

KEYWORDS: Eye, Analog electronics, Retina, Confocal microscopy, Optical tracking, Reflectometry, Reflectivity, In vivo imaging, Laser coagulation, Argon ion lasers

Read Abstract +

Proceedings Article | 26 May 1997 Paper

Digital imaging-based retinal photocoagulation system

Steven Barrett, Cameron Wright, Erik Oberg, Benjamin Rockwell, Clarence Cain, Henry Rylander, Ashley Welch

Proceedings Volume 2971, (1997) https://doi.org/10.1117/12.275102

KEYWORDS: Reflectivity, Retina, In vivo imaging, Cameras, Video, Computing systems, Argon ion lasers, Prototyping, Blood vessels, Laser coagulation

Read Abstract +

SPIE Journal Paper | 2 April 1997 Open Access

Hybrid approach to retinal tracking and laser aiming for photocoagulation

Cameron Wright, R. Ferguson, Henry Rylander, Ashley Welch, Steven Barrett

JBO, Vol. 2, Issue 02, (April 1997) https://doi.org/10.1117/12.10.1117/12.268964

KEYWORDS: Eye, Analog electronics, Retina, Signal detection, Mirrors, Reflectometry, Laser coagulation, Automatic tracking, Safety, Confocal microscopy

Read Abstract +

DOWNLOAD PAPER

Proceedings Article | 17 May 1996 Paper

Hybrid tracking and control system for computer-aided retinal surgery

R. Ferguson, Cameron Wright, Henry Rylander, Ashley Welch, Steven Barrett

Proceedings Volume 2673, (1996) https://doi.org/10.1117/12.240077

KEYWORDS: Eye, Analog electronics, Retina, Reflectometry, Computing systems, Automatic tracking, Laser therapeutics, Blood vessels, Confocal microscopy, Signal detection

Read Abstract +

Proceedings Article | 17 May 1996 Paper

Integrated computer-aided retinal photocoagulation system

Steven Barrett, Cameron Wright, Erik Oberg, Benjamin Rockwell, Clarence Cain, Maya Jerath, Henry Rylander, Ashley Welch

Proceedings Volume 2673, (1996) https://doi.org/10.1117/12.240060

KEYWORDS: Reflectivity, Argon ion lasers, System integration, Retina, Computing systems, Cameras, Laser coagulation, Pulsed laser operation, Control systems, CCD cameras

Read Abstract +

SPIE Journal Paper | 2 January 1996 Open Access

Computer-aided retinal photocoagulation system

Steven Barrett, Cameron Wright, Maya Jerath, R. Stephen Lewis, Bryan Dillard, Henry Rylander, Ashley Welch

JBO, Vol. 1, Issue 01, (January 1996) https://doi.org/10.1117/12.10.1117/12.227101

KEYWORDS: Computing systems, Retina, Argon ion lasers, Laser coagulation, Prototyping, Control systems, Reflectivity, Eye, In vivo imaging, Cameras

Read Abstract +

DOWNLOAD PAPER

Proceedings Article | 1 May 1995 Paper

Automated retinal robotic laser system instrumentation

Steven Barrett, Cameron Wright, Maya Jerath, R. Stephen Lewis, Bryan Dillard, Henry Rylander, Ashley Welch

Proceedings Volume 2396, (1995) https://doi.org/10.1117/12.208403

KEYWORDS: Computing systems, Retina, Prototyping, Argon ion lasers, Control systems, Frame grabbers, Laser systems engineering, Laser applications, Reflectivity, Camera shutters

Read Abstract +

Proceedings Article | 3 March 1995 Paper

Automated placement of retinal laser lesions in vivo

Steven Barrett, Cameron Wright, Maya Jerath, R. Stephen Lewis, Bryan Dillard, Henry Rylander, Ashley Welch

Proceedings Volume 2374, (1995) https://doi.org/10.1117/12.205019

KEYWORDS: Prototyping, In vivo imaging, Retina, Pulsed laser operation, Argon ion lasers, Control systems, Laser systems engineering, Laser tissue interaction, Computing systems, Laser applications

Read Abstract +

Researchers at the University of Texas at Austin's Biomedical Engineering Laser Laboratory investigating the medical applications of lasers have worked toward the development of a retinal robotic laser system. The overall goal of the ongoing project is to precisely place and control the depth of laser lesions for the treatment of various retinal diseases such as diabetic retinopathy and retinal tears. Researchers at the USAF Academy's Department of Electrical Engineering and the Optical Radiation Division of Armstrong Laboratory have also become involved with this research due to similar related interests. Separate low speed prototype subsystems have been developed to control lesion depth using lesion reflectance feedback parameters and lesion placement using retinal vessels as tracking landmarks. Both subsystems have been successfully demonstrated in vivo on pigmented rabbits using an argon continuous wave laser. Work is ongoing to build a prototype system to simultaneously control lesion depth and placement. Following the dual-use concept, this system is being adapted for clinical use as a retinal treatment system as well as a research tool for military laser-tissue interaction studies. Specifically, the system is being adapted for use with an ultra-short pulse laser system at Armstrong Laboratory and Frank J. Seiler Research Laboratory to study the effects of ultra-short laser pulses on the human retina. The instrumentation aspects of the prototype subsystems were presented at SPIE Conference 1877 in January 1993. Since then our efforts have concentrated on combining the lesion depth control subsystem and the lesion placement subsystem into a single prototype capable of simultaneously controlling both parameters. We have designated this combined system CALOSOS for Computer Aided Laser Optics System for Ophthalmic Surgery. We have also investigated methods to improve system response time. Use of high speed nonstandard frame rate CCD cameras and high speed frame grabbers hosted on personal computers featuring the 32 bit, 33 MHz PCI bus have been investigated. Design details of an initial CALOSOS prototype design is provided in SPIE Conference proceedings 2396B-32 (Biomedical Optics Conference, Clinical Laser Delivery and Robotics Session). This paper will review in vivo testing to date and detail planned system upgrades.

Showing 5 of 24 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years