Corresponding points matching based on position similarity

Jun Jun Pan, Yan Ning Zhang

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

According to the position similarity of corresponding points in correlative images, a rule of points matching based on "the regulation of the minimum summation of Euclid distance" is presented when studying the problem of corresponding points matching from X-ray images. This rule is different from the conventional corresponding points matching methods based on gray level or region geometric feature. It derives from the model of sequence matching algorithm. According to the condition that the relative position of any two points in adjacent area from two images are almost unchanged, this rule minimizes the summation of corresponding points distance by adjusting the sequence of points with evolutionary programming searching algorithm to match corresponding points. From the experiment on PC, the result demonstrates that this approach can match the most feature points correctly in a low cost of time just based on the position of corresponding points.

源语言英语
主期刊名Proceedings of the Conference on Computer Graphics, Imaging and Vision
主期刊副标题New Trends 2005
33-37
页数5
DOI
出版状态已出版 - 2005
活动2nd Conference on Computer Graphics, Imaging, and Vision: New Trends 2005 - Beijing, 中国
期限: 26 7月 200529 7月 2005

出版系列

姓名Proceedings of the Conference on Computer Graphics, Imaging and Vision: New Trends 2005
2005

会议

会议2nd Conference on Computer Graphics, Imaging, and Vision: New Trends 2005
国家/地区中国
Beijing
时期26/07/0529/07/05

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