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Fuzzy Logic for Image Processing [electronic resource] : A Gentle Introduction Using Java / by Laura Caponetti, Giovanna Castellano.

By: Caponetti, Laura [author.].
Contributor(s): Castellano, Giovanna [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: SpringerBriefs in Electrical and Computer Engineering: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XIV, 138 p. 61 illus., 33 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319441306.Subject(s): Signal processing | Computer vision | Computational intelligence | Algorithms | Signal, Speech and Image Processing | Computer Vision | Computational Intelligence | AlgorithmsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
Contents:
Part 1. Fundamentals of Fuzzy Image Processing -- Image Representation Using Java -- Low-level Image Processing -- Basics of Fuzzy Logic -- Fuzzy Image Processing -- Java for Image Processing -- Part 2. Application to Image Processing -- Color Contrast Enhancement -- Image Segmentation -- Morphological Analysis -- Image Thresholding -- Appendix A: Java Code References.
In: Springer Nature eBookSummary: 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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Part 1. Fundamentals of Fuzzy Image Processing -- Image Representation Using Java -- Low-level Image Processing -- Basics of Fuzzy Logic -- Fuzzy Image Processing -- Java for Image Processing -- Part 2. Application to Image Processing -- Color Contrast Enhancement -- Image Segmentation -- Morphological Analysis -- Image Thresholding -- Appendix A: Java Code References.

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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