DocumentCode
1573950
Title
The application of Ball Vector Machine for image segmentation
Author
Wang, Xuelong ; Cheng, Guojian ; Zhang, Jing ; Lei, Cai
Author_Institution
School of Computer Science and Engineering, Xi´´an University of Technology, 710048, China
fYear
2012
Firstpage
113
Lastpage
116
Abstract
Aimed at standard Support Vector Machine (SVM) having a high training complexity for image segmentation, a new method based on Ball Vector Machine (BVM) for image segmentation is proposed in this paper. The experimental results show that two methods for image segmentation have the same effect, but the training time of BVM is significantly lesser than that of SVM. It is verified and validated that BVM for image segmentation can significantly improve the performance of image segmentation.
Keywords
Ball vector machine; Image segmentation; Minimum enclosing ball;
fLanguage
English
Publisher
ieee
Conference_Titel
World Automation Congress (WAC), 2012
Conference_Location
Puerto Vallarta, Mexico
ISSN
2154-4824
Print_ISBN
978-1-4673-4497-5
Type
conf
Filename
6321049
Link To Document