Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic [[electronic resource] /] / by Claudia I. Gonzalez, Patricia Melin, Juan R. Castro, Oscar Castillo

• Autore: Gonzalez Claudia I
• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
• Edizione: 1st ed. 2017.
• Descrizione fisica: 1 online resource (X, 89 p. 34 illus., 21 illus. in color.)
• Disciplina: 006.37
• Soggetto topico: Computational intelligence; Artificial intelligence; Pattern recognition; Computational Intelligence; Artificial Intelligence; Pattern Recognition
• Persona (resp. second.): MelinPatricia; CastroJuan R; CastilloOscar
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic
• ISBN: 3-319-53994-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910254333403321
• Lo trovi qui: Univ. Federico II
• Serie: SpringerBriefs in Computational Intelligence, . 2625-3704