Fuzzy Logic for Image Processing A Gentle Introduction Using Java

Covers the most state-of-the-art topics in fuzzy logic as it pertains to image processing
Presents a concise introduction to image processing algorithms based on fuzzy logic
Outlines image processing tasks such as thresholding, enhancement, edge detection, morphological filters, and segmentation in relation to fuzzy logic
This book provides an introduction to fuzzy logic approaches useful in image processing. The authors start by introducing image processing tasks of low and medium level such as thresholding, enhancement, edge detection, morphological filters, and segmentation and shows how fuzzy logic approaches apply. The book is divided into two parts. The first includes vagueness and ambiguity in digital images, fuzzy image processing, fuzzy rule based systems, and fuzzy clustering. The second part includes applications to image processing, image thresholding, color contrast enhancement, edge detection, morphological analysis, and image segmentation. Throughout, they describe image processing algorithms based on fuzzy logic under methodological aspects in addition to applicative aspects. Implementations in java are provided for the various applications.
Number of Illustrations and Tables
28 b/w illustrations, 33 illustrations in colour
Topics
Signal, Image and Speech Processing
Image Processing and Computer Vision
Computational Intelligence
Algorithm Analysis and Problem Complexity