Fuzzy Logic for Image Processing

£49.99

Fuzzy Logic for Image Processing

A Gentle Introduction Using Java

Electronics engineering Algorithms and data structures Artificial intelligence Computer vision Digital signal processing (DSP)

Authors: Laura Caponetti, Giovanna Castellano

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Collection: SpringerBriefs in Electrical and Computer Engineering

Language: English

Published by: Springer

Published on: 16th September 2016

Format: LCP-protected ePub

Size: 3 Mb

ISBN: 9783319441306


Introduction to Fuzzy Logic in 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.

Book Structure

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.

Methodology and Implementations

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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