Title :
Multi-level contour segmentation using multiple segmentation primitives
Author_Institution :
Sch. of Appl. Sci., Nanyang Technol. Univ., Singapore
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;
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-8186-8512-3
DOI :
10.1109/ICPR.1998.711252