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Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic

  1. Údaje o názvuEdge Detection Methods Based on Generalized Type-2 Fuzzy Logic [electronic resource] / by Claudia I. Gonzalez, Patricia Melin, Juan R. Castro, Oscar Castillo.
    NakladatelCham : Springer International Publishing : Imprint: Springer, 2017.
    Fyz.popisX, 89 p. 34 illus., 21 illus. in color. online resource.
    ISBN9783319539942
    EdiceSpringerBriefs in Applied Sciences and Technology, ISSN 2191-530X
    Úplný obsahIntroduction -- 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.
    Poznámky k dostupnostiPřístup pouze pro oprávněné uživatele
    Dal.odpovědnost Melin, Patricia.
    Castro, Juan R.
    Castillo, Oscar.
    Dal.odpovědnost SpringerLink (Online service)
    Předmět.hesla Engineering. * Artificial intelligence. * Pattern recognition. * Computational intelligence.
    Forma, žánr elektronické knihy electronic books
    Země vyd.Německo
    Jazyk dok.angličtina
    Druh dok.Elektronické knihy
    URLPlný text pro studenty a zaměstnance UPOL
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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.

    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.

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