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Fuzzy Logic for Image Processing: A Gentle Introduction Using Java

AUTHOR Caponetti, Laura; Castellano, Giovanna
PUBLISHER Springer (09/26/2016)
PRODUCT TYPE Paperback (Paperback)

Description

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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Product Format
Product Details
ISBN-13: 9783319441283
ISBN-10: 3319441280
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
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Page Count: 138
Carton Quantity: 50
Product Dimensions: 6.14 x 0.33 x 9.21 inches
Weight: 0.50 pound(s)
Feature Codes: Illustrated
Country of Origin: NL
Subject Information
BISAC Categories
Technology & Engineering | Electronics - General
Technology & Engineering | Software Development & Engineering - Computer Graphics
Technology & Engineering | Programming - Algorithms
Dewey Decimal: 005.1
Descriptions, Reviews, Etc.
jacket back
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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publisher marketing

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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Paperback