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Fuzzy logic for image processing = a...

Caponetti, Laura.

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Fuzzy logic for image processing = a gentle introduction using Java /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Fuzzy logic for image processing/ by Laura Caponetti, Giovanna Castellano.
其他題名:	a gentle introduction using Java /
作者:	Caponetti, Laura.
其他作者:	Castellano, Giovanna.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xiv, 138 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Fuzzy logic. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-44130-6
ISBN:	9783319441306

Fuzzy logic for image processing = a gentle introduction using Java /
Caponetti, Laura.

Fuzzy logic for image processinga gentle introduction using Java /[electronic resource] :by Laura Caponetti, Giovanna Castellano. - Cham :Springer International Publishing :2017. - xiv, 138 p. :ill., digital ;24 cm. - SpringerBriefs in electrical and computer engineering,2191-8112. - SpringerBriefs in electrical and computer engineering..

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.

ISBN: 9783319441306

Standard No.: 10.1007/978-3-319-44130-6doiSubjects--Topical Terms:

532071
Fuzzy logic.

LC Class. No.: QA9.64

Dewey Class. No.: 511.313

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520 $a 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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