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
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"
Conference_Titel :
Information and Automation, 2015 IEEE International Conference on
DOI :
10.1109/ICInfA.2015.7279470