DocumentCode
3208752
Title
Grouping with bias revisited
Author
Nock, Richard ; Nielsen, Frank
Author_Institution
DSI, Antilles-Guyane Univ., Schoelcher, France
Volume
2
fYear
2004
fDate
27 June-2 July 2004
Abstract
In this paper, we improve and tailor a recent statistical region merging approach to biased (partially supervised) grouping. The approach appears to be attractive both for its theoretical benefits and its experimental results, as light bias brings dramatic improvements over unbiased approaches on difficult pictures. Comparisons with another biased grouping algorithm display very favorable results.
Keywords
graph theory; image segmentation; statistical analysis; biased grouping; light bias; pictures; statistical region merging approach; Automation; Clustering algorithms; Data mining; Digital images; Displays; Image segmentation; Merging; Partitioning algorithms; Pixel; Uniform resource locators;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
ISSN
1063-6919
Print_ISBN
0-7695-2158-4
Type
conf
DOI
10.1109/CVPR.2004.1315200
Filename
1315200
Link To Document