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Fuzzy Logic for Image Processing: A Gentle Introduction Using Java (SpringerBriefs in Electrical and Computer Engineering) book cover by Laura Caponetti, Giovanna Castellano
Paperback

Fuzzy Logic for Image Processing: A Gentle Introduction Using Java (SpringerBriefs in Electrical and Computer Engineering)

by Laura Caponetti and Giovanna Castellano

$52.79 / copy at 25+ copies As low as $51.59 at 100+Your best volume price

Total $1,319.75

Paperback · 138 pages Springer International Publishing · 2016

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About the book

Fuzzy Logic for Image Processing

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.



The book, Fuzzy Logic for Image Processing: A Gentle Introduction Using Java (SpringerBriefs in Electrical and Computer Engineering) [Bulk, Wholesale, Quantity] ISBN#9783319441283 in Paperback by Laura Caponetti, Giovanna Castellano may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Publisher
Springer International Publishing
Authors
Laura Caponetti, Giovanna Castellano
Format
Paperback
Published
Sep 26, 2016
ISBN-13
9783319441283
Pages
138
Printing
Printed on demand
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CopiesPrice per copyYou save
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50 – 99 $52.19 13% off list
100+ $51.59 14% off list
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