Geometrical frame identification of 2-D structural objects by recursively bifurcating SOM and KL transformation

Author

Arnonkijpanich, Banchar ; Lursinsap, Chidchanok

Author_Institution

Dept. of Mathematics, Chulalongkorn Univ., Bangkok, Thailand

Volume

5

fYear

2003

fDate

5-8 Oct. 2003

Firstpage

4230

Abstract

Identifying the characteristics, structure, or features of a given set of data is the most essential step prior to the classification, recognition, or even understanding process. The identified features must preserve the nature of the data and the irrelevant features should be excluded after the extraction process. This study concerns the extraction of the actual 2-dimensional geometrical frame of each element from a set of given 2-dimensional structural objects. Our approach is based on self-organizing mapping and Karhunen-Loeve transformation. The number of clusters needs not be satisfied in advance as in the other approaches.

Keywords

Karhunen-Loeve transforms; bifurcation; feature extraction; image processing; object detection; pattern clustering; piecewise linear techniques; self-organising feature maps; 2D structural objects; Karhunen-Loeve transformation; data set; feature extraction; feature identification; geometrical frame identification; recursive bifurcation; self-organizing map; Bifurcation; Character recognition; Clustering algorithms; Data mining; Feature extraction; Karhunen-Loeve transforms; Piecewise linear techniques; Shape; Skeleton; Topology;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2003. IEEE International Conference on

ISSN

1062-922X

Print_ISBN

0-7803-7952-7

Type

conf

DOI

10.1109/ICSMC.2003.1245649

Filename

1245649