DocumentCode
2478288
Title
Shape Classification Using Tree -Unions
Author
Wang, B. ; Shen, W. ; Liu, W.-Y. ; You, X.-G. ; Bai, X.
Author_Institution
Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear
2010
fDate
23-26 Aug. 2010
Firstpage
983
Lastpage
986
Abstract
In this paper, we proposed a novel approach to shape classification. A new shape tree based on junction nodes can represent the global structure in a simple way. The statistic distribution of junctions can be learned by merging the shape trees. In the process of learning, context of a junction node is obtained to improve the rate of classification. We illustrate the utility of the proposed method on the problem of 2D shape classification using the new shape tree representation.
Keywords
image classification; shape recognition; trees (mathematics); 2D shape classification; junction nodes; junction statistic distribution; shape classification; shape tree representation; tree unions; Bayesian methods; Context; Databases; Junctions; Pattern recognition; Shape; Skeleton;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location
Istanbul
ISSN
1051-4651
Print_ISBN
978-1-4244-7542-1
Type
conf
DOI
10.1109/ICPR.2010.246
Filename
5595836
Link To Document