Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic

TRAMA

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.

SOMMARIO

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.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9783319539935
• Collana: SpringerBriefs in Applied Sciences and Technology
• Dimensioni: 235 x 155 mm Ø 454 gr
• Formato: Brossura
• Illustration Notes: X, 89 p. 34 illus., 21 illus. in color.
• Pagine Arabe: 89
• Pagine Romane: x