DocumentCode
457165
Title
An LBP-Based Active Contour Algorithm for Unsupervised Texture Segmentation
Author
Savelonas, M.A. ; Iakovidis, D.K. ; Maroulis, D.E.
Author_Institution
Dept. of Informatics & Telecommun., Athens Univ.
Volume
2
fYear
0
fDate
0-0 0
Firstpage
279
Lastpage
282
Abstract
This paper presents a novel algorithm for unsupervised texture segmentation. The proposed algorithm incorporates the local binary pattern operator under a segmentation framework based on the active contour without edges model. The experiments performed, show that it can be used for fast segmentation of two-textured images, outperforming recent texture segmentation algorithms, with a segmentation quality that reaches 99% on average
Keywords
image segmentation; image texture; LBP-based active contour algorithm; local binary pattern operator; segmentation framework; unsupervised texture segmentation; Active contours; Biomedical imaging; Computer vision; Image edge detection; Image retrieval; Image segmentation; Image texture analysis; Informatics; Level set; Remote sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location
Hong Kong
ISSN
1051-4651
Print_ISBN
0-7695-2521-0
Type
conf
DOI
10.1109/ICPR.2006.260
Filename
1699201
Link To Document