Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic

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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.

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 Includes supplementary material: sn.pub/extras

Inhalt
Introduction.- Generalized Type-2 Fuzzy Logic.- Edge Detection Methods and Filters Used on Digital Image Processing.- Metrics for Edge Detection Methods.- Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic Systems.- Generalized Type-2 Fuzzy Edge Detection Applied on a Face Recognition System.- Experimentation and Results Discussion.- Conclusions.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319539935
    • Genre Technology Encyclopedias
    • Auflage 1st ed. 2017
    • Lesemotiv Verstehen
    • Anzahl Seiten 89
    • Herausgeber Springer-Verlag GmbH
    • Größe H235mm x B155mm
    • Jahr 2017
    • EAN 9783319539935
    • Format Kartonierter Einband
    • ISBN 978-3-319-53993-5
    • Veröffentlichung 14.03.2017
    • Titel Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic
    • Autor Claudia I. Gonzalez , Patricia Melin , Juan R. Castro , Oscar Castillo
    • Untertitel SpringerBriefs in Applied Sciences and Technology - SpringerBriefs in Computatio
    • Gewicht 226g
    • Sprache Englisch

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