Dr. Steven F. Barrett Profile

Dr. Steven F. Barrett

Assistant Professor at Univ of Wyoming

SPIE Involvement:

Author

Publications (29)

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

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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

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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

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SPIE Journal Paper | 1 October 2006

Segmentation method for three-dimensional visualization of microscopic objects imaged with a confocal laser scanning microscope

Jeffrey Anderson, Steven Barrett, Michael Wilcox

JEI, Vol. 15, Issue 04, 043005, (October 2006) https://doi.org/10.1117/12.10.1117/1.2372515

KEYWORDS: Image segmentation, Image processing, 3D image processing, Visualization, Image processing algorithms and systems, 3D image reconstruction, Optical spheres, Neurons, Confocal microscopy, Image enhancement

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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

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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

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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

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Proceedings Article | 14 April 2005 Paper

A segmentation method for 3D visualization of neurons imaged with a confocal laser scanning microscope

Jeffrey Anderson, Steven Barrett, Michael Wilcox

Proceedings Volume 5746, (2005) https://doi.org/10.1117/12.594565

KEYWORDS: Image segmentation, Image processing, Image processing algorithms and systems, Binary data, Neurons, 3D image processing, Confocal microscopy, Visualization, 3D modeling, Optical spheres

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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

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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

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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

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Proceedings Article | 17 May 2001 Paper

Automated PRL measurements using a confocal laser ophthalmoscope

Steven Barrett, Harry Zwick

Proceedings Volume 4246, (2001) https://doi.org/10.1117/12.426721

KEYWORDS: Eye, Retina, Visualization, Video, Scanning laser ophthalmoscopy, Detection and tracking algorithms, Confocal microscopy, Image resolution, Optical tracking, Laser safety

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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.

SPIE Journal Paper | 1 January 1994

Digital tracking and control of retinal images

Steven Barrett, Maya Jerath, Henry Rylander, Ashley Welch

OE, Vol. 33, Issue 01, (January 1994) https://doi.org/10.1117/12.10.1117/12.149134

KEYWORDS: Detection and tracking algorithms, Retina, Cameras, Eye, Video, Frame grabbers, Mirrors, Prototyping, Algorithm development, Control systems

Proceedings Article | 7 July 1993 Paper

Instrumentation for feedback-controlled retinal photocoagualation

Steven Barrett, Maya Jerath, Henry Rylander, Ashley Welch

Proceedings Volume 1892, (1993) https://doi.org/10.1117/12.147487

KEYWORDS: Reflectivity, Cameras, Retina, Feedback control, Detection and tracking algorithms, Laser systems engineering, Eye, Control systems, Video, LASIK

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Proceedings Article | 24 June 1993 Paper

Reflectance feedback control of photocoagulation in vivo

Maya Jerath, Ravi Chundru, Steven Barrett, Henry Rylander, Ashley Welch

Proceedings Volume 1877, (1993) https://doi.org/10.1117/12.147537

KEYWORDS: Reflectivity, Feedback control, Laser coagulation, Eye, Absorption, Cameras, In vivo imaging, Control systems, Retina, Argon ion lasers

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Proceedings Article | 24 June 1993 Paper

Digital tracking and control of retinal images

Steven Barrett, Maya Jerath, Henry Rylander, Ashley Welch

Proceedings Volume 1877, (1993) https://doi.org/10.1117/12.147540

KEYWORDS: Detection and tracking algorithms, Retina, Eye, Cameras, Video, Frame grabbers, Algorithm development, Laser systems engineering, Prototyping, Mirrors

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Showing 5 of 29 publications

Conference Committee Involvement (4)

Bioinspiration, Biomimetics, and Bioreplication V

9 March 2015 | San Diego, California, United States

Bioinspiration, Biomimetics, and Bioreplication IV

9 March 2014 | San Diego, California, United States

Bioinspiration, Biomimetics, and Bioreplication III

11 March 2013 | San Diego, California, United States

Bioinspiration, Biomimetics, and Bioreplication II

12 March 2012 | San Diego, California, United States

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