| Title:
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EDGE DETECTION METHODS BASED ON GENERALIZED TYPE-2 FUZZY LOGIC
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| By: |
Claudia I. Gonzalez, Patricia Melin, Juan R. Castro |
| Format: |
Paperback |
| List price:
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£44.99 |
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£38.24 |
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£6.75 |
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| ISBN 10: |
3319539930 |
| ISBN 13: |
9783319539935 |
| Availability: |
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| Publisher: |
SPRINGER INTERNATIONAL PUBLISHING AG |
| Pub. date: |
14 March, 2017 |
| Edition: |
1st ed. 2017 |
| Series: |
SpringerBriefs in Applied Sciences and Technology |
| Pages: |
89 |
| Synopsis: |
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. |
| Illustrations: |
21 Illustrations, color; 13 Illustrations, black and white; X, 89 p. 34 |
| Publication: |
Switzerland |
| Imprint: |
Springer International Publishing AG |
| Returns: |
Returnable |