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Graph segmentation revisited: Detailed analysis and density learning based implementation

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6 Author(s)
Zhiding Yu ; Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China ; Au, O.C. ; Ketan Tang ; Jiali Li
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In this paper we give a step-by-step detailed analysis on the performance of shortest spanning tree (SST) and its revised version, recursive SST (RSST). We further propose a novel segmentation scheme based on recursive SST in the warped domain produced by density estimation. The proposed method is robust for variant natural image input and is easy to implement. Experimental results and comparisons with other methods have illustrated the effectiveness and robustness of the proposed method.

Published in:
Multimedia and Expo (ICME), 2010 IEEE International Conference on

Date of Conference: 19-23 July 2010

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