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Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic

Af: Patricia Melin, Claudia I. Gonzalez, Oscar Castillo, Juan R. Castro Engelsk Paperback

Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic

Af: Patricia Melin, Claudia I. Gonzalez, Oscar Castillo, Juan R. Castro Engelsk Paperback
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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.
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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.
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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 89
ISBN-13: 9783319539935
Indbinding: Paperback
Udgave:
ISBN-10: 3319539930
Kategori: Kunstig intelligens
Udg. Dato: 14 mar 2017
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer International Publishing AG
Oplagsdato: 14 mar 2017
Forfatter(e): Patricia Melin, Claudia I. Gonzalez, Oscar Castillo, Juan R. Castro
Forfatter(e) Patricia Melin, Claudia I. Gonzalez, Oscar Castillo, Juan R. Castro

Kategori Kunstig intelligens

ISBN-13 9783319539935

Sprog Engelsk

Indbinding Paperback

Sider 89

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 14 mar 2017

Oplagsdato 14 mar 2017

Forlag Springer International Publishing AG