DocumentCode
327794
Title
Multi-level contour segmentation using multiple segmentation primitives
Author
Sluzek, Andrzej
Author_Institution
Sch. of Appl. Sci., Nanyang Technol. Univ., Singapore
Volume
1
fYear
1998
fDate
16-20 Aug 1998
Firstpage
741
Abstract
A multi-level technique of segmenting digital contours using multiple segmentation primitives is presented. At each level, the prospective instances of the primitives are detected. Then, the detected instances are ranked according to how accurately they approximate the corresponding fragment of the contour. Finally, the top-rank instances are selected for the segmentation output. The remaining parts of the contour are segmented at the next level (using primitives of smaller size), etc
Keywords
computer vision; edge detection; image segmentation; digital contours; multi-level contour segmentation; multiple segmentation primitives; top-rank instances; Computer vision; Data mining; Detectors; Image analysis; Image edge detection; Image segmentation; Layout; Read only memory; Robots; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location
Brisbane, Qld.
ISSN
1051-4651
Print_ISBN
0-8186-8512-3
Type
conf
DOI
10.1109/ICPR.1998.711252
Filename
711252
Link To Document