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 :
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