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Author Gonzalez, Claudia I., author

Title Edge detection methods based on generalized type-2 fuzzy logic / Claudia I. Gonzalez, Patricia Melin, Juan R. Castro, Oscar Castillo
Published Cham, Switzerland : Springer, [2017]
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Description 1 online resource : illustrations
Series SpringerBriefs in applied sciences and technology. Computational intelligence
SpringerBriefs in applied sciences and technology. Computational intelligence.
Contents 880-01 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
880-01 Preface; Contents; 1 Introduction; 2 Generalized Type-2 Fuzzy Logic; 2.1 Definition of Generalized Type-2 Fuzzy Sets; 2.2 α-Planes Representation; 2.3 Generalized Type-2 Fuzzy Systems Based on α-Planes; 2.3.1 Fuzzifier Process; 2.3.2 Fuzzy Rules; 2.3.3 Inference Engine; 2.3.4 Type Reducer; 2.3.5 Defuzzification Process; 3 Edge Detection Methods and Filters Used on Digital Image Processing; 3.1 Edge Detection Methods; 3.1.1 Morphological Gradient Approach; 3.1.2 Sobel Operator; 3.1.3 Sobel Operator Applied on Color Images; 3.2 Filters; 3.2.1 Low-Pass Filters; 3.2.2 High-Pass Filters
Summary 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
Bibliography Includes bibliographical references and index
Notes Online resource; title from PDF title page (EBSCO, viewed March 09, 2017)
Subject Computer vision -- Mathematics.
Fuzzy logic.
Image processing.
Vision -- Computer simulation.
Form Electronic book
Author Castillo, Oscar, 1959- author
Castro, Juan R., author
Melin, Patricia, 1962- author
ISBN 3319539949 (electronic bk.)
9783319539942 (electronic bk.)