Artificial Neural Networks for Image Understanding

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Van Nostrand Reinhold, 1994 - Computers - 210 pages
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A tutorial of theoretical and practical principles of neural networks as applied to complex computing tasks such as robotics vision control, medical image analysis and remote sensing. The rapidly-evolving concept of automated image understanding is fully explored and explained in real-world terms, with numerous examples of industrial and commercial applications.

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Contents

Preprocessing
13
Feature Extraction
49
Texture Analysis
75
Copyright

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About the author (1994)

Kulkarni is Professor of Computer Science at the University of Texas-Tyler. He has been a software developer for the past 20 years and works as a software consultant in e-commerce applications. He obtained his PhD from the Indian Institute of Technology, Bombay.

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