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SpringerBriefs in Computational Intelligence

Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic

Authors: Gonzalez, C.I., Melin, P., Castro, J.R., Castillo, O.

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  • Includes a comparative study of type-1, interval type-2 and generalized type-2 fuzzy systems as tools to enhance edge detection in digital images when used in conjunction with the morphological gradient and the Sobel operator
  • Shows the advantage of using a generalized type-2 fuzzy edge detector in pattern recognition applications
  • Recent research on Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic
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eBook $54.99
price for USA in USD (gross)
  • ISBN 978-3-319-53994-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-319-53993-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

In this book four new methods are proposed. In the first method the generalized type-2 fuzzy logic is combined with the morphological gra-dient technique. The second method combines the general type-2 fuzzy systems (GT2 FSs) and the Sobel operator; in the third approach the me-thodology based on Sobel operator and GT2 FSs is improved to be applied on color images. In the fourth approach, we proposed a novel edge detec-tion method where, a digital image is converted a generalized type-2 fuzzy image. In this book it is also included a comparative study of type-1, inter-val type-2 and generalized type-2 fuzzy systems as tools to enhance edge detection in digital images when used in conjunction with the morphologi-cal gradient and the Sobel operator. The proposed generalized type-2 fuzzy edge detection methods were tested with benchmark images and synthetic images, in a grayscale and color format.
Another contribution in this book is that the generalized type-2 fuzzy edge detector method is applied in the preprocessing phase of a face rec-ognition system; where the recognition system is based on a monolithic neural network. The aim of this part of the book is to show the advantage of using a generalized type-2 fuzzy edge detector in pattern recognition applications.
The main goal of using generalized type-2 fuzzy logic in edge detec-tion applications is to provide them with the ability to handle uncertainty in processing real world images; otherwise, to demonstrate that a GT2 FS has a better performance than the edge detection methods based on type-1 and type-2 fuzzy logic systems.

Table of contents (8 chapters)

Table of contents (8 chapters)

Buy this book

eBook $54.99
price for USA in USD (gross)
  • ISBN 978-3-319-53994-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-319-53993-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic
Authors
Series Title
SpringerBriefs in Computational Intelligence
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
The Author(s)
eBook ISBN
978-3-319-53994-2
DOI
10.1007/978-3-319-53994-2
Softcover ISBN
978-3-319-53993-5
Series ISSN
2625-3704
Edition Number
1
Number of Pages
X, 89
Number of Illustrations
13 b/w illustrations, 21 illustrations in colour
Topics