Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic
tarafından
Gonzalez, Claudia I. author.
Başlık
:
Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic
Yazar
:
Gonzalez, Claudia I. author.
ISBN
:
9783319539942
Yazar
:
Gonzalez, Claudia I. author.
Edisyon
:
1st ed. 2017.
Fiziksel Niteleme
:
X, 89 p. 34 illus., 21 illus. in color. online resource.
Seri
:
SpringerBriefs in Computational Intelligence,
İçindekiler
:
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.
Özet
:
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.
Konu Başlığı
:
Engineering.
Artificial intelligence.
Optical pattern recognition.
Computational Intelligence. http://scigraph.springernature.com/things/product-market-codes/T11014
Artificial Intelligence. http://scigraph.springernature.com/things/product-market-codes/I21000
Pattern Recognition. http://scigraph.springernature.com/things/product-market-codes/I2203X
Yazar Ek Girişi
:
Melin, Patricia.
Castro, Juan R.
Castillo, Oscar.
Ek Kurum Yazar
:
SpringerLink (Online service)
Elektronik Erişim
:
Materyal Türü | Barkod | Yer Numarası | Durumu/İade Tarihi |
---|
Electronic Book | 225181-1001 | Q342 | Springer E-Book Collection |