Title :
A skeleton-based algorithm for rigid object segmentation
Author :
Zhongyu Fang;Peifeng Zeng
Author_Institution :
Department of Computer Science, University of Donghua, Shanghai, China
Abstract :
A skeleton-based segmentation point searching (SSPS) segmentation algorithm is proposed in this paper. In SSPS, two segmentation points are searched in each touched place by skeleton stretching; touched objects are separated by linking two segmentation points. Rotation invariant is SSPS´s intrinsic property. Experimental results and performance analy-sis are provided.
Keywords :
"Skeleton","Image segmentation","Search problems","Shape","Nonlinear distortion","Image edge detection"
Conference_Titel :
Information and Automation, 2015 IEEE International Conference on
DOI :
10.1109/ICInfA.2015.7279386
