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 :
بازگشت