Bit-Quad-Based Euler Number Computing

Bit-Quad-Based Euler Number Computing
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基于位四元的欧拉数计算

DOI:
10.1587/transinf.2017edp7012
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发表时间:
2017-09
影响因子:
0.7
通讯作者:
Chao Yuyan
Chao Yuyan
中科院分区:
计算机科学4区
文献类型:
--
作者:
Yao Bin;He Lifeng;Kang Shiying;Zhao Xiao;Chao Yuyan

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The Euler number of a binary image is an important topological property for pattern recognition, image analysis, and computer vision. A famous method for computing the Euler number of a binary image is by counting certain patterns of bit-quads in the image, which has been improved by scanning three rows once to process two bit-quads simultaneously. This paper studies the bit-quad-based Euler number computing problem. We show that for a bit-quad-based Euler number computing algorithm, with the increase of the number of bit-quads being processed simultaneously, on the one hand, the average number of pixels to be checked for processing a bit-quad will decrease in theory, and on the other hand, the length of the codes for implementing the algorithm will increase, which will make the algorithm less efficient in practice. Experimental results on various types of images demonstrated that scanning five rows once and processing four bit-quads simultaneously is the optimal tradeoff, and that the optimal bit-quad-based Euler number computing algorithm is more efficient than other Euler number computing algorithms. key words: Euler number, topological property, computer vision, pattern recognition, image analysis
DOI: 10.1016/0167-8655(88)90078-5
发表时间: 1988-12
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影响因子: --
作者:
Minghua Chen;Ping-Fan Yan
通讯作者: Minghua Chen;Ping-Fan Yan
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发表时间: 1996-03
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影响因子: 3.5
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发表时间: 1995-07
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