DocumentCode
3120206
Title
A new method for edge detection based on support vector classification
Author
Lei, Jing ; Shen, Xue-Qin
Author_Institution
Hebei Univ. of Technol., Tianjin, China
Volume
4
fYear
2002
fDate
4-5 Nov. 2002
Firstpage
1762
Abstract
An edge detection method based on a support vector machine is introduced. We use support vector classification (SVC) to detect image edges. With support vector classification, we can observe that: (1) it is very convenient for gray level images whose background and foreground lightness have large differences; (2) we can compress the images through the so-called support vector.
Keywords
data compression; edge detection; image classification; image coding; learning automata; edge detection; gray level image; image compression; support vector classification; support vector machine; Face detection; Image edge detection; Lagrangian functions; Machine learning; Pixel; Static VAr compensators; Support vector machine classification; Support vector machines; Training data; Virtual colonoscopy;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN
0-7803-7508-4
Type
conf
DOI
10.1109/ICMLC.2002.1175339
Filename
1175339
Link To Document