Computer Vision and Fuzzy-neural Systems

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Prentice Hall PTR, 2001 - Computers - 504 pages
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For courses in computer vision, pattern recognition, or image processing at the senior undergraduate level or first year graduate level.This essential resource brings together the field's latest research and applications, presenting the field's first comprehensive tutorial and reference to apply fuzzy-neural systems to computer vision applications, such as remote sensing, medical image analysis, data compression, fingerprint analysis, and character recognition. Reflects most recent trends in computer vision and provides algorithms with practical examples.

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Contents

INTRODUCTION
1
COMPUTER VISION FUNDAMENTALS
27
FUZZY LOGIC FUNDAMENTALS
61
Copyright

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About the author (2001)

Dr. Arun D. Kulkarni is Professor of Computer Science at The University of Texas at Tyler, Tyler, Texas. His research interests include computer vision, fuzzy-neural systems, data mining, image processing, and artificial intelligence. He has authored a book and published more than 50 referred papers. His awards include the 1984 Fulbright Fellowship award and the 1997 NASA/ASSE Summer Faculty Fellowship. Dr. Kulkarni obtained his Ph.D. from the Indian Institute of Technology, Bombay, and was a post-doctoral fellow at Virginia Tech.

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