Fuzzy Logic for Image Processing A Gentle Introduction Using Java
by
 
Caponetti, Laura. author.

Title
Fuzzy Logic for Image Processing A Gentle Introduction Using Java

Author
Caponetti, Laura. author.

ISBN
9783319441306

Edition
1st ed. 2017.

Physical Description
XIV, 138 p. 61 illus., 33 illus. in color. online resource.

Series
SpringerBriefs in Electrical and Computer Engineering,

Abstract
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.

Subject Term
Signal processing.
 
Computer vision.
 
Computational intelligence.
 
Algorithms.
 
Signal, Speech and Image Processing.

Added Author
Castellano, Giovanna.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
https://doi.org/10.1007/978-3-319-44130-6


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book612997-1001ONLINESpringer E-Kitap Koleksiyonu