DocumentCode
271439
Title
Alternative formulations to compute the binary shape Euler number
Author
Sossa Azuela, Juan Humberto ; Rubio Espino, Elsa ; Santiago, Regivan ; LoÌpez, Alejandro ; Peña Ayala, Alejandro ; Jimenez, Erik V. Cuevas
Author_Institution
Dept. of Comput. Sci., Inst. Politec. Nac.-Centro de Investig. en Comput., Mexico City, Mexico
Volume
8
Issue
3
fYear
2014
fDate
Jun-14
Firstpage
171
Lastpage
181
Abstract
The authors propose two equations based on the pixel geometry and connectivity properties, which can be used to compute, efficiently, the Euler number of a binary digital image with either thick or thin boundaries. Although computing this feature, the authors´ technique extracts the underlying topological information provided by the shape pixels of the given image. The correctness of computing the Euler number using the new equations is also established theoretically. The performance of the proposed method is compared against other available alternatives. Experimental results on a large image database demonstrate that the authors technique for computing the Euler number outperforms the earlier approaches significantly in terms of the number of basic arithmetic operations needed per pixel. Both equations are specialised only for 4-connectivity cases.
Keywords
feature extraction; shape recognition; arithmetic operation; binary digital image; binary shape Euler number; connectivity properties; feature extraction; image database; pixel geometry; shape pixels; topological information;
fLanguage
English
Journal_Title
Computer Vision, IET
Publisher
iet
ISSN
1751-9632
Type
jour
DOI
10.1049/iet-cvi.2013.0076
Filename
6826028
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