DocumentCode
638943
Title
X-ray image mosaic based on scale invariant feature extraction
Author
Wang Yan Wei ; Lin Bing ; Sun Huadong ; Yu Hong
Author_Institution
Harbin Pet. Inst., Harbin Eng. Univ., Harbin, China
fYear
2013
fDate
4-7 Aug. 2013
Firstpage
1760
Lastpage
1764
Abstract
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.
Keywords
Gaussian noise; X-ray imaging; feature extraction; image segmentation; Gaussian noise; RANSAC algorithm; X-ray image mosaic; scale invariant feature extraction; Accuracy; Circuit breakers; Feature extraction; Mutual information; Noise; Robustness; X-ray imaging; Image mosaic; Maximization of mutual information; RANSAC; Scale-invariant feature points;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation (ICMA), 2013 IEEE International Conference on
Conference_Location
Takamatsu
Print_ISBN
978-1-4673-5557-5
Type
conf
DOI
10.1109/ICMA.2013.6618182
Filename
6618182
Link To Document