X-ray Image Mosaic Based on Scale Invariant Feature Extraction

被引：0
|
作者：
Wang Yan Wei [1 ]
Lin Bing [1 ]
Sun Huadong [2 ]
Yu Hong [2 ]
机构：
[1] Harbin Engn Univ, Harbin Petr Inst, Harbin, Heilongjiang Pr, Peoples R China
[2] Harbin Commercial Univ, Inst Yunnan Power Grid Corp, Elect Power Res, Kuming, Peoples R China
来源：
2013 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA) | 2013年
关键词：
Image mosaic; RANSAC; Maximization of mutual information; Scale-invariant feature points;
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：
Image mosaic technology based on scale invariant is proposed in this paper for industrial X-ray image with low contrast and some artefacts. Firstly, scale-invariant feature point extraction algorithm uses of to extract the feature points. Then, the coarse feature points matching based on maximum mutual information, and fine matching based on RANSAC algorithm to removing the fake matching pairs. Experimental results show that the algorithm has good stability, especially with 20 percent Gaussian noise, this algorithm can still be detected feature points actually. Compared with other feature point matching methods, the algorithm maintain stability at the same time improve the matching accuracy.
引用
收藏
页码：1760 / 1764
页数：5
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