Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic

de

, , ,

Éditeur :

Springer


Collection :

SpringerBriefs in Applied Sciences and Technology

Paru le : 2017-03-05

eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
52,74

Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description

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.
Pages
89 pages
Collection
SpringerBriefs in Applied Sciences and Technology
Parution
2017-03-05
Marque
Springer
EAN papier
9783319539935
EAN PDF
9783319539942

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
6564 Ko
Prix
52,74 €
EAN EPUB
9783319539942

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
2867 Ko
Prix
52,74 €