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浏览/检索结果: 共3条，第1-3条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 一种基于图像灰度的快速匹配算法 期刊论文 2010, 2010 李强; 张钹; LI Qiang; ZHANG Bo 收藏  |  浏览/下载：6/0 A fast matching algorithm based on image gray value 期刊论文 2010, 2010 Li Qiang; Zhang Bo 收藏  |  浏览/下载：5/0 An image matching algorithm based on sub-block coding (EI CONFERENCE) 会议论文 2nd International Workshop on Computer Science and Engineering, WCSE 2009, October 28, 2009 - October 30, 2009, Qingdao, China Feng Y.; Li S.; Dai M. 收藏  |  浏览/下载：21/0  |  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.