Dr. Shaun Scott Gleason Profile

Dr. Shaun Scott Gleason

Group Leader/ISMV at Oak Ridge National Lab

SPIE Involvement:

Author

Publications (29)

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 | 7 February 2011 Paper

Monitoring plant growth using high resolution micro-CT images

Vincent Paquit, Shaun Gleason, Udaya Kalluri

Proceedings Volume 7877, 78770W (2011) https://doi.org/10.1117/12.876719

KEYWORDS: 3D modeling, X-ray imaging, Image segmentation, Image resolution, X-rays, Carbon, 3D image processing, Radiography, Signal attenuation, Tissues

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Proceedings Article | 7 February 2011 Paper

Automatic firearm class identification from cartridge cases

Sridharan Kamalakannan, Christopher Mann, Philip Bingham, Thomas Karnowski, Shaun Gleason

Proceedings Volume 7877, 78770P (2011) https://doi.org/10.1117/12.872414

KEYWORDS: Firearms, Image segmentation, Machine vision, Visual process modeling, Head, Statistical modeling, Scene classification, Interferometers, Image processing, Hough transforms

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SPIE Journal Paper | 1 July 2010 Open Access

Special Section Guest Editorial: Quality Control for Artificial Vision

Edmund Lam, Shaun Gleason, Kurt Niel

JEI, Vol. 19, Issue 3, 031201, (July 2010) https://doi.org/10.1117/12.10.1117/1.3497000

KEYWORDS: Machine vision, Image segmentation, Imaging systems, Image quality, Control systems, Inspection, Image processing, Biomedical optics, Electronics engineering, 3D image processing

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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 | 10 September 2009 Paper

Improving coastal altimeter products by a new retracking approach

Jesús Gómez-Enri, Paolo Cipollini, Christine Gommenginger, Cristina Martin-Puig, Stefano Vignudelli, Phil Woodworth, Jérôme Benveniste, Pilar Villares, Scott Gleason

Proceedings Volume 7473, 74730A (2009) https://doi.org/10.1117/12.831080

KEYWORDS: Data modeling, Coastal modeling, Atmospheric modeling, Satellites, 3D modeling, Microwave radiation, Radiometry, Climatology, Data processing, Global Positioning System

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SPIE Journal Paper | 1 July 2005 Open Access

Quantitative comparison of mitotic spindles by confocal image analysis

Jeffery Price, Deniz Aykac, Shaun Gleason, Karuna Chourey, Yie Liu

JBO, Vol. 10, Issue 04, 044012, (July 2005) https://doi.org/10.1117/12.10.1117/1.1955531

KEYWORDS: Spindles, Proteins, Confocal microscopy, Principal component analysis, Image analysis, 3D image processing, Image processing, Genetics, Analytical research, 3D modeling

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Proceedings Article | 7 March 2005 Paper

Application of polarization for optical motion-registered SPECT functional imaging of tumors in mice

Justin Baba, Shaun Gleason, James Goddard, Michael Paulus

Proceedings Volume 5702, (2005) https://doi.org/10.1117/12.597442

KEYWORDS: Polarization, Single photon emission computed tomography, Functional imaging, Image filtering, Light sources, Optical filters, Imaging systems, Specular reflections, Glasses, Light emitting diodes

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SPIE Journal Paper | 1 December 2004

Content-based compression of mammograms with fractal-based segmentation and a modified JPEG2000

Hung Yam Chan, Hamed Sari-Sarraf, Bradley Grinstead, Shaun Gleason

OE, Vol. 43, Issue 12, (December 2004) https://doi.org/10.1117/12.10.1117/1.1810529

KEYWORDS: Mammography, JPEG2000, Chromium, Image compression, Image segmentation, Computer programming, Discrete wavelet transforms, Image quality standards, Fractal analysis, Wavelets

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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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Proceedings Article | 1 May 2003 Paper

Application of fractal encoding techniques for image segmentation

Regina Ferrell, Shaun Gleason, Kenneth Tobin

Proceedings Volume 5132, (2003) https://doi.org/10.1117/12.514943

KEYWORDS: Fractal analysis, Computer programming, Image segmentation, Image compression, Image processing algorithms and systems, Semiconductors, Defect detection, Image processing, Mammography, Tissues

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Proceedings Article | 12 July 2002 Paper

Detection of semiconductor defects using a novel fractal encoding algorithm

Shaun Gleason, Regina Ferrell, Thomas Karnowski, Kenneth Tobin

Proceedings Volume 4692, (2002) https://doi.org/10.1117/12.475642

KEYWORDS: Fractal analysis, Defect detection, Semiconductors, Computer programming, Image processing, Scanning electron microscopy, Databases, Photomasks, Image segmentation, Detection and tracking algorithms

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Proceedings Article | 23 August 2001 Paper

Flow simulation in a 3D model of pig airways and connection to lung sounds

Kara Kruse, Paul Williams, Glenn Allgood, Richard Ward, Shaun Gleason, Michael Paulus, Nancy Munro, Gnanamanika Mahinthakumar, Chandrasegaran Narasimhan, Jeffrey Hammersley, Dan Olson

Proceedings Volume 4368, (2001) https://doi.org/10.1117/12.438122

KEYWORDS: Lung, 3D modeling, Image segmentation, Computational fluid dynamics, Animal model studies, Sensors, Computing systems, Computer simulations, Fluid dynamics, Acoustics

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Proceedings Article | 3 July 2001 Paper

Preliminary validation of content-based compression of mammographic images

Brad Grinstead, Hamed Sari-Sarraf, Shaun Gleason, Sunanda Mitra

Proceedings Volume 4322, (2001) https://doi.org/10.1117/12.430994

KEYWORDS: Image compression, Data compression, Image segmentation, Medical imaging, Image processing, Mammography

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Proceedings Article | 3 July 2001 Paper

Streamlined volumetric landmark placement method for building three-dimensional active shape models

Molly Dickens, Hamed Sari-Sarraf, Shaun Gleason

Proceedings Volume 4322, (2001) https://doi.org/10.1117/12.431096

KEYWORDS: Kidney, Image segmentation, 3D modeling, Medical imaging, Image processing, Statistical modeling, 3D image processing, Algorithm development, Image registration, Scanners

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Proceedings Article | 6 June 2000 Paper

Automatic screening of polycystic kidney disease in x-ray CT images of laboratory mice

Shaun Gleason, Hamed Sari-Sarraf, Michael Paulus, Dabney Johnson, Mongi Abidi

Proceedings Volume 3979, (2000) https://doi.org/10.1117/12.387747

KEYWORDS: Image segmentation, Kidney, Algorithm development, X-ray computed tomography, Spine, X-rays, Data modeling, Medical imaging, Image processing algorithms and systems, X-ray imaging

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Proceedings Article | 27 April 2000 Paper

High-resolution x-ray CT screening of mutant mouse models

Michael Paulus, Shaun Gleason, Hamed Sari-Sarraf, Dabney Johnson, Charmaine Foltz, Derek Austin, M. Easterly, Edward Michaud, Madhu Dhar, Patricia Hunsicker, J. Wall, M. Schell

Proceedings Volume 3921, (2000) https://doi.org/10.1117/12.384221

KEYWORDS: X-rays, Reconstruction algorithms, Tissues, Image segmentation, Sensors, Kidney, Image processing algorithms and systems, X-ray sources, Modulation transfer functions, Data acquisition

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Proceedings Article | 9 July 1999 Paper

Feasibility of telemammography as biomedical application for breast imaging

Barbara Beckerman, Stephen Batsell, Lawrence MacIntyre, Hamed Sarraf, Shaun Gleason, Mitchell Schnall

Proceedings Volume 3595, (1999) https://doi.org/10.1117/12.351543

KEYWORDS: Image processing, Mammography, Breast imaging, Breast cancer, Digital mammography, Medical imaging, Image transmission, Breast, Operating systems, Computer aided diagnosis and therapy

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Proceedings Article | 14 June 1999 Paper

Application of spatial signature analysis to electrical test data: validation study

Thomas Karnowski, Kenneth Tobin, Shaun Gleason, Fred Lakhani

Proceedings Volume 3677, (1999) https://doi.org/10.1117/12.350840

KEYWORDS: Semiconducting wafers, Manufacturing, Optics manufacturing, Image processing, Analytical research, Fuzzy logic, Library classification systems, Wafer-level optics, Feature extraction, Semiconductors

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This paper presents the result of the Spatial Signature Analysis (SSA) ELectrical-test (e-test) validation study that was conducted between February and June,1998. SSA is an automated procedure developed by researchers at the Oak Ridge National Laboratory to address the issue of intelligent data reduction while providing feedback on current manufacturing processes. SSA was initially developed to automate the analysis of optical defect data. Optical defects can form groups, or clusters, which may have a distinct shape. These patterns can reveal information about the manufacturing process. Optical defect SSA uses image processing algorithms and a classifier system to interpret and identify these patterns, or 'signatures'. SSA has been extended to analyze and interpret electrical test data. The algorithms used for optical defect SSA have been adapted and applied to e-test binmaps. An image of the binmap is created, and features such as geometric and invariant moments are extracted and presented to a pair-wise, fuzzy, k-NN classifier. The classifier itself was prepared by manually training, which consists of storing example signatures of interest in a library, then executing an automated process which treats the examples as prototype signatures. The training process include a procedure for automatically determining which features are most relevant to each class. The evaluation was performed by installing the SSA software as a batch process at three SEMATECH member company sites. Feedback from member company representatives was incorporated and classifiers were built to automatically assign label sot he binmap signatures. The three sites produced memory devices and microprocessors in a mature process fabrication environment. For all of these products, 5,620 signatures that encompassed approximately 552 wafers were human-classified and analyzed. The performance of the SSA E-test system indicates that the approach was successful in reliably classifying binmap signatures in a manner similar to the human expert.

Proceedings Article | 21 May 1999 Paper

Front-end data reduction in computer-aided diagnosis of mammograms: a pilot study

Hamed Sari-Sarraf, Shaun Gleason, Robert Nishikawa

Proceedings Volume 3661, (1999) https://doi.org/10.1117/12.348556

KEYWORDS: Mammography, Fractal analysis, Computer programming, CAD systems, Image processing, Computer aided diagnosis and therapy, Detection and tracking algorithms, Image analysis, Tissues, Image compression

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Proceedings Article | 8 June 1998 Paper

Rapid yield learning through optical defect and electrical test analysis

Shaun Gleason, Kenneth Tobin, Thomas Karnowski, Fred Lakhani

Proceedings Volume 3332, (1998) https://doi.org/10.1117/12.308731

KEYWORDS: Semiconducting wafers, Manufacturing, Image processing, Wafer-level optics, Optics manufacturing, Fuzzy logic, Semiconductor manufacturing, Semiconductors, Library classification systems, Analytical research

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Proceedings Article | 2 February 1998 Paper

Fuzzy logic connectivity in semiconductor defect clustering

Thomas Karnowski, Shaun Gleason, Kenneth Tobin

Proceedings Volume 3306, (1998) https://doi.org/10.1117/12.301244

KEYWORDS: Fuzzy logic, Semiconducting wafers, Semiconductors, Manufacturing, Distance measurement, Image processing, Algorithm development, Software development, Fuzzy systems, Inspection

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Proceedings Article | 2 February 1998 Paper

Adaptation of the fuzzy k-nearest neighbor classifier for manufacturing automation

Kenneth Tobin, Shaun Gleason, Thomas Karnowski

Proceedings Volume 3306, (1998) https://doi.org/10.1117/12.301238

KEYWORDS: Manufacturing, Fuzzy logic, Classification systems, Pattern recognition, Inspection, Semiconductor manufacturing, Optical inspection, Optics manufacturing, Systems engineering

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Proceedings Article | 7 July 1997 Paper

Automatic classification of spatial signatures on semiconductor wafer maps

Kenneth Tobin, Shaun Gleason, Thomas Karnowski, Susan Cohen, Fred Lakhani

Proceedings Volume 3050, (1997) https://doi.org/10.1117/12.275936

KEYWORDS: Semiconducting wafers, Manufacturing, Fuzzy logic, Particles, Optics manufacturing, Wafer-level optics, Analytical research, Semiconductors, Visualization, Contamination

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Proceedings Article | 15 April 1997 Paper

Feature analysis and classification of manufacturing signatures based on semiconductor wafer maps

Kenneth Tobin, Shaun Gleason, Thomas Karnowski, Susan Cohen

Proceedings Volume 3029, (1997) https://doi.org/10.1117/12.271241

KEYWORDS: Semiconducting wafers, Fuzzy logic, Feature selection, Iris, Manufacturing, Analytical research, Semiconductors, Image classification, Image processing, Optical inspection

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Proceedings Article | 21 May 1996 Paper

Image paradigm for semiconductor defect data reduction

Kenneth Tobin, Shaun Gleason, Thomas Karnowski, Hamed Sari-Sarraf, Marylyn Bennett

Proceedings Volume 2725, (1996) https://doi.org/10.1117/12.240084

KEYWORDS: Semiconducting wafers, Image segmentation, Image processing, Photomasks, Manufacturing, Semiconductors, Particles, Statistical analysis, Defect detection, Binary data

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Proceedings Article | 21 February 1996 Paper

Part identification using robust feature extraction and pattern classification

Martin Hunt, J. Steve Hicks, Shaun Gleason

Proceedings Volume 2665, (1996) https://doi.org/10.1117/12.232243

KEYWORDS: Hough transforms, Image classification, Image processing, Feature extraction, Image enhancement, Mahalanobis distance, Artillery, Image segmentation, Computing systems, Image acquisition

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Proceedings Article | 22 May 1995 Paper

Automatic defect classification: status and industry trends

Marylyn Bennett, Kenneth Tobin, Shaun Gleason

Proceedings Volume 2439, (1995) https://doi.org/10.1117/12.209203

KEYWORDS: Semiconducting wafers, Image processing, Defect detection, Image segmentation, Fuzzy logic, Manufacturing, Inspection, Semiconductors, Algorithm development, Detection and tracking algorithms

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Proceedings Article | 1 March 1991 Paper

Subpixel measurement of image features based on paraboloid surface fit

Shaun Gleason, Martin Hunt, William Jatko

Proceedings Volume 1386, (1991) https://doi.org/10.1117/12.25387

KEYWORDS: Machine vision, System integration, Algorithm development, Inspection, Data modeling, Image processing, Image registration, 3D modeling, Visualization, Distance measurement

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Showing 5 of 29 publications

Conference Committee Involvement (4)

Image Processing: Machine Vision Applications VIII

10 February 2015 | San Francisco, California, United States

Image Processing: Machine Vision Applications VII

3 February 2014 | San Francisco, California, United States

Image Processing: Machine Vision Applications VI

5 February 2013 | Burlingame, California, United States

Image Processing: Machine Vision Applications V

25 January 2012 | Burlingame, California, United States

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