DocumentCode :
1742365
Title :
The Euler feature vector
Author :
Stavrianopoulou, A. ; Anastassopoulos, Vassilis
Author_Institution :
Electron. Lab., Patras Univ., Greece
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
1022
Abstract :
Three topological quantities are proposed in order to be used in combination with the Euler number in shape classification procedures. These quantities are evaluated using the convex deficiency of the shape as well as orientation dependent variations of its convex hull. The proposed topological feature vector is prone to problems or instabilities imposed by the rectangular grid. The computational load is related to the time needed for convex hull and Euler number evaluation. Its classification results are satisfactory when it is used in separating typewritten letters or a small number of binary silhouettes
Keywords :
image classification; topology; Euler feature vector; Euler number; binary silhouettes; convex deficiency; convex hull; orientation dependent variations; shape classification procedures; topological feature vector; typewritten letters; Airplanes; Gravity; Laboratories; MATLAB; Physics; Shape; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.903719
Filename :
903719
Link To Document :
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