Caponetti, Laura.
Fuzzy Logic for Image Processing A Gentle Introduction Using Java / [electronic resource] : by Laura Caponetti, Giovanna Castellano. - 1st ed. 2017. - XIV, 138 p. 61 illus., 33 illus. in color. online resource. - SpringerBriefs in Electrical and Computer Engineering, 2191-8120 . - 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.
9783319441306
10.1007/978-3-319-44130-6 doi
Signal processing.
Computer vision.
Computational intelligence.
Algorithms.
Signal, Speech and Image Processing .
Computer Vision.
Computational Intelligence.
Algorithms.
TK5102.9
621.382
Fuzzy Logic for Image Processing A Gentle Introduction Using Java / [electronic resource] : by Laura Caponetti, Giovanna Castellano. - 1st ed. 2017. - XIV, 138 p. 61 illus., 33 illus. in color. online resource. - SpringerBriefs in Electrical and Computer Engineering, 2191-8120 . - 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.
9783319441306
10.1007/978-3-319-44130-6 doi
Signal processing.
Computer vision.
Computational intelligence.
Algorithms.
Signal, Speech and Image Processing .
Computer Vision.
Computational Intelligence.
Algorithms.
TK5102.9
621.382