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An image matching algorithm based on sub-block coding (EI CONFERENCE) 会议论文  OAI收割
2nd International Workshop on Computer Science and Engineering, WCSE 2009, October 28, 2009 - October 30, 2009, Qingdao, China
作者:  
Li S.
收藏  |  浏览/下载:31/0  |  提交时间:2013/03/25
In order to improve the speed of matching algorithm and simplify the processing of existing sub-block coding matching  a new template matching method combined local gray value encoding matching and phase correlation is proposed. Matching process is divided into rough matching and fine matching. Rough matching divides the image into certain size blocks called R-block  sums the gray value of each R-block pixel  encodes the R-block according to the gray value distribution of R-block with the adjacent R-block  and matches by step between the template and each search sub-image. Then  fine matching results are obtained using phase correlation according to initial match parameters. The time complexity of the proposed method is (M2) .The new algorithm is faster than traditional algorithm by two orders of magnitude  and the speed has improved twice compared with existing sub-block coding method. Experiments demonstrate that the new algorithm is robust to the linear transformation of pixel grey value and image noise  and it also has the stability of small-angle rotation. 2009 IEEE.  
Classification and counting on multicontinued fractions and its application to multi-sequences 期刊论文  iSwitch采集
Science in china series f-information sciences, 2007, 卷号: 50, 期号: 3, 页码: 351-358
作者:  
Dai ZongDuo;  Feng XiuTao
收藏  |  浏览/下载:17/0  |  提交时间:2019/05/10