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Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic

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  • © 2017

Overview

Authors:
  1. Claudia I. Gonzalez

    1. School of Engineering, University of Baja California, Tijuana, Mexico

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  2. Patricia Melin

    1. Division of Graduate Studies, Tijuana Institute of Technology, Tijuana, Mexico

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  3. Juan R. Castro

    1. School of Engineering, University of Baja California, Tijuana, Mexico

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  4. Oscar Castillo

    1. Division of Graduate Studies, Tijuana Institute of Technology, Tijuana, Mexico

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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
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)

Part of the book sub series: SpringerBriefs in Computational Intelligence (BRIEFSINTELL)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-x
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  2. Introduction

    • Claudia I. Gonzalez, Patricia Melin, Juan R. Castro, Oscar Castillo
    Pages 1-2

  3. Generalized Type-2 Fuzzy Logic

    • Claudia I. Gonzalez, Patricia Melin, Juan R. Castro, Oscar Castillo
    Pages 3-9

  4. Edge Detection Methods and Filters Used on Digital Image Processing

    • Claudia I. Gonzalez, Patricia Melin, Juan R. Castro, Oscar Castillo
    Pages 11-16

  5. Metrics for Edge Detection Methods

    • Claudia I. Gonzalez, Patricia Melin, Juan R. Castro, Oscar Castillo
    Pages 17-19

  6. Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic Systems

    • Claudia I. Gonzalez, Patricia Melin, Juan R. Castro, Oscar Castillo
    Pages 21-35

  7. Generalized Type-2 Fuzzy Edge Detection Applied on a Face Recognition System

    • Claudia I. Gonzalez, Patricia Melin, Juan R. Castro, Oscar Castillo
    Pages 37-41

  8. Experimentation and Results Discussion

    • Claudia I. Gonzalez, Patricia Melin, Juan R. Castro, Oscar Castillo
    Pages 43-75

  9. Conclusions

    • Claudia I. Gonzalez, Patricia Melin, Juan R. Castro, Oscar Castillo
    Pages 77-78

  10. Back Matter

    Pages 79-89
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Keywords

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.

Authors and Affiliations

  • School of Engineering, University of Baja California, Tijuana, Mexico

    Claudia I. Gonzalez, Juan R. Castro

  • Division of Graduate Studies, Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin, Oscar Castillo

Bibliographic Information

  • Book Title: Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic

  • Authors: Claudia I. Gonzalez, Patricia Melin, Juan R. Castro, Oscar Castillo

  • Series Title: SpringerBriefs in Applied Sciences and Technology

  • DOI: https://doi.org/10.1007/978-3-319-53994-2

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Author(s) 2017

  • Softcover ISBN: 978-3-319-53993-5Published: 14 March 2017

  • eBook ISBN: 978-3-319-53994-2Published: 05 March 2017

  • Series ISSN: 2191-530X

  • Series E-ISSN: 2191-5318

  • Edition Number: 1

  • Number of Pages: X, 89

  • Number of Illustrations: 13 b/w illustrations, 21 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Pattern Recognition

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