Skeletonization based on high-level Markov random field

Authors:
Melody Z. W. Liao;S. X. Hu;X. Q. Huang;W. F. Chen
Affiliations:
School of Computer Science, Sichuan Normal University, Chengdu, China;School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China;Suzhou Non-ferrous Metal Research Institute, Suzhou, China;School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China
Venue:
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Year:
2009

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Abstract

One essential challenge for some skeletonization methods are the skeletons are broken on the intersection regions or by noise. In order to connect the broken skeletons more reasonable and obtain good skeleton performance, we propose a method to repair the primary skeletons extracted by some recently methods. The primary skeletons are repaired using high-level Markov Random field (HLMRF) whose fetures are lines of primary skeletons. The final repaired skeletons are obtained by finding the optimal resolution of cost function defined by HLMRF. Experiments show the good performance of our method.