David Clausi
Professor
SYSTEMS DESIGN ENGINEERING
University of Waterloo
Canada
Biography
Dr. Clausi's research interests include computer vision, digital image processing, and pattern recognition. His current emphasis involves developing automated interpretation algorithms to extract relevant information from remotely sensed imagery. Remote sensing images are generally quite large and require considerable time and effort to manually process and interpret. The recent higher resolution aerial and satellite-based sensors have compounded this problem. Automated feature extraction and classification schemes are preferable.
Research Interest
Computer vision, digital image processing, and pattern recognition. His current emphasis involves developing automated interpretation algorithms to extract relevant information from remotely sensed imagery.
Publications
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Deng H, Clausi DA. Unsupervised image segmentation using a simple MRF model with a new implementation scheme. Pattern recognition. 2004 Dec 31;37(12):2323-35.
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Clausi DA, Jernigan ME. Designing Gabor filters for optimal texture separability. Pattern Recognition. 2000 Nov 30;33(11):1835-49.
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Clausi DA. An analysis of co-occurrence texture statistics as a function of grey level quantization. Canadian Journal of remote sensing. 2002 Feb 1;28(1):45-62.
