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

1st ed. 2017

Book Details

Format Paperback / Softback
ISBN-10 3319441280
ISBN-13 9783319441283
Edition 1st ed. 2017
Publisher Springer International Publishing AG
Imprint Springer International Publishing AG
Country of Manufacture CH
Country of Publication GB
Publication Date Sep 26th, 2016
Print length 138 Pages
Ksh 9,000.00
Werezi Extended Catalogue 0 in stock

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This book provides an introduction to fuzzy logic approaches useful in image processing. The first includes vagueness and ambiguity in digital images, fuzzy image processing, fuzzy rule based systems, and fuzzy clustering.

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.


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