Title :
Grouping with bias revisited
Author :
Nock, Richard ; Nielsen, Frank
Author_Institution :
DSI, Antilles-Guyane Univ., Schoelcher, France
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;
Conference_Titel :
Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
Print_ISBN :
0-7695-2158-4
DOI :
10.1109/CVPR.2004.1315200
