A Fast Image Matching Research Based On MIC-SURF Algorithm

被引：0
|
作者：
Zhang Huiqing [1 ]
Zhang Jingli [1 ]
Dai Ruyong [1 ]
机构：
[1] Beijing Univ Technol, Beijing 100124, Peoples R China
来源：
2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2015年
关键词：
Image matching; MIC algorithm; SURF algorithm; MIC-SURF algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
For making up having no rotational invariance, missing many corners and susceptible to noise of the MIC algorithm, a fast image matching based on MIC-SURF algorithm is proposed which is combined with the SURF algorithm and the improved MIC algorithm. First of all, the image for adaptive smooth filtered, using neighborhood pixel similarity method to calculate the numbers of similar gray value between 8 neighborhoods of the current pixel and its nuclear; then adopting multi-grid algorithm detects geometric corners in the non-flat areas of the image; finally utilizing the SURF algorithm describes and matches feature points. Experiment results indicate that it calculates accurately and fast after the image illumination, rotation, affine and noise changing.
引用
收藏
页码：542 / 547
页数：6
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