DocumentCode
3660197
Title
A graph-theory-based Euler number computing algorithm
Author
Bin Yao;Shiying Kang;Xiao Zhao;Yuyan Chao;Lifeng He
Author_Institution
Artificial Intelligence Institute, College of Electrical and Information Engineering, Shaanxi University of Science and Technology, Xi´an, 710021, China
fYear
2015
Firstpage
1206
Lastpage
1209
Abstract
This paper proposes a new graph-theory-based Euler number computing algorithm. The proposed algorithm only needs to count two bit-quad patterns in the given image, while conventional bit-quad-based algorithms need to count ten. Moreover, by use of the information obtained during processing previous pixels, the average number of pixel checked for processing a bit-quad in the proposed algorithm will be less than that in conventional algorithms. Experimental results demonstrated that the performance of the proposed algorithm significantly overpasses conventional Euler number computing algorithms.
Keywords
"Algorithm design and analysis","Image edge detection","Labeling","Pattern recognition","Classification algorithms","Noise","Conferences"
Publisher
ieee
Conference_Titel
Information and Automation, 2015 IEEE International Conference on
Type
conf
DOI
10.1109/ICInfA.2015.7279470
Filename
7279470
Link To Document