A generalized possibilistic approach to shell clustering of template-based shapes

作者：Wang Tsaipei; Hung Wen Liang^*

来源：Journal of Statistical Computation and Simulation, 2017, 87(3): 423-436.

DOI：10.1080/00949655.2016.1209202

• Diversity index
• generic-template-based shape detection
• possibilistic shell clustering
• power-law relation

Efficiently and effectively detecting shell-like structures of particular shapes is an important task in computer vision and image processing. This paper presents a generalized possibilistic c-means algorithm (PCM) for shell clustering based on the diversity index of degree-lambda proposed by Patil and Taillie [Diversity as a concept and its measurement. J Amer Statist Assoc. 1982;77:548-561]. Experiments on various data sets in Wang [Possibilistic shell clustering of template-based shapes. IEEE Trans Fuzzy Syst. 2009;17:777-793] show that the the proposed generalized PCM performs better than Wang's [Possibilistic shell clustering of template-based shapes. IEEE Trans Fuzzy Syst. 2009;17:777-793] possib

• 出版日期2017-2