Possibilistic clustering of generic shapes derived from templates

Tsaipei Wang*

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

We present in this paper a new type of alternating-optimization based possibilistic c-shell algorithm for clustering template-based shapes. A cluster prototype consists of a copy of the template after translation, scaling, rotation, and/or affine transformations. We use a number of two-dimensional data sets, both synthetic and from real-world images, to illustrate the capability of our algorithm in detecting generic template-based shapes in images. We also describe a progressive clustering procedure aimed to relax the requirements of known number of clusters and good initialization.

原文English
主出版物標題2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008
頁面1721-1728
頁數8
DOIs
出版狀態Published - 2008
事件2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008 - Hong Kong, China
持續時間: 1 6月 20086 6月 2008

出版系列

名字IEEE International Conference on Fuzzy Systems
ISSN(列印)1098-7584

Conference

Conference2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008
國家/地區China
城市Hong Kong
期間1/06/086/06/08

指紋

深入研究「Possibilistic clustering of generic shapes derived from templates」主題。共同形成了獨特的指紋。

引用此