Fuzzy Logic for Image Processing - A Gentle Introduction Using Java (Paperback, 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	SpringerBriefs in Electrical and Computer Engineering
Release date:	September 2016
First published:	2017
Authors:	Laura Caponetti • Giovanna Castellano
Dimensions:	235 x 155 x 8mm (L x W x T)
Format:	Paperback
Pages:	138
Edition:	1st ed. 2017
ISBN-13:	978-3-319-44128-3
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Applications of computing > Pattern recognition Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	3-319-44128-0
Barcode:	9783319441283

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