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    3. Fuzzy Logic for Image Processing: A Gentle Introduction Using Java

    Fuzzy Logic for Image Processing: A Gentle Introduction Using Java

    Posted By: Underaglassmoon
    Date: 22 Sep 2016 00:12:40
    Fuzzy Logic for Image Processing: A Gentle Introduction Using Java

    Fuzzy Logic for Image Processing: A Gentle Introduction Using Java
    Springer | Signals & Communication | October 18, 2016 | ISBN-10: 3319441280 | 138 pages | pdf | 5.43 mb

    Authors: Caponetti, Laura, Castellano, Giovanna
    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



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