Fuzzy Logic for Image Processing is popular PDF and ePub book, written by Laura Caponetti in 2016-09-16, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Fuzzy Logic for Image Processing can be Read Online from any device for your convenience.
Fuzzy Logic for Image Processing Book PDF Summary
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.
Detail Book of Fuzzy Logic for Image Processing PDF
- Author : Laura Caponetti
- Release : 16 September 2016
- Publisher : Springer
- ISBN : 9783319441306
- Genre : Technology & Engineering
- Total Page : 138 pages
- Language : English
- PDF File Size : 17,8 Mb
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