|
|
|
|
| LEADER |
03292nmm a2200361 u 4500 |
| 001 |
EB001383965 |
| 003 |
EBX01000000000000000906930 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
170406 ||| eng |
| 020 |
|
|
|a 9783319539942
|
| 100 |
1 |
|
|a Gonzalez, Claudia I.
|
| 245 |
0 |
0 |
|a Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic
|h Elektronische Ressource
|c by Claudia I. Gonzalez, Patricia Melin, Juan R. Castro, Oscar Castillo
|
| 250 |
|
|
|a 1st ed. 2017
|
| 260 |
|
|
|a Cham
|b Springer International Publishing
|c 2017, 2017
|
| 300 |
|
|
|a X, 89 p. 34 illus., 21 illus. in color
|b online resource
|
| 505 |
0 |
|
|a 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
|
| 653 |
|
|
|a Computational intelligence
|
| 653 |
|
|
|a Artificial Intelligence
|
| 653 |
|
|
|a Computational Intelligence
|
| 653 |
|
|
|a Artificial intelligence
|
| 653 |
|
|
|a Automated Pattern Recognition
|
| 653 |
|
|
|a Pattern recognition systems
|
| 700 |
1 |
|
|a Melin, Patricia
|e [author]
|
| 700 |
1 |
|
|a Castro, Juan R.
|e [author]
|
| 700 |
1 |
|
|a Castillo, Oscar
|e [author]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
| 490 |
0 |
|
|a SpringerBriefs in Computational Intelligence
|
| 028 |
5 |
0 |
|a 10.1007/978-3-319-53994-2
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-319-53994-2?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 006.3
|
| 520 |
|
|
|a 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
|