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Alternative TitleInfrared and visible-light different-source image matching method based on context of line segments
史泽林; 夏仁波; 刘云鹏; 向伟; 惠斌; 田政
Rights Holder中国科学院沈阳自动化研究所
Patent Agent沈阳科苑专利商标代理有限公司 21002
Other AbstractThe invention relates to an infrared and visible-light different-source image matching method based on the context of line segments, comprising the following steps: using an LSD algorithm to detect line segments in an image, and selecting key line segments according to geometric constraint rules; detecting corners through an improved image corner detection method; calculating the Manhattan distance between the line segments in four-quadrant neighborhoods of a feature point to get the contribution of each line segment to the feature point, and on the basis, building a feature descriptor based on the context of line segments through adoption of a circular array; and using a bidirectional matching strategy and an RANSAC algorithm to realize infrared and visible-light image matching. Through the method, more correct matching point pairs can be acquired. The method can adapt to exact matching of infrared and visible-light images with serious gray level difference, and is superior to mainstream different-source image matching algorithms in terms of robustness and time efficiency.
PCT Attributes
Application Date2014-11-21
Application NumberCN201410669821.4
Open (Notice) NumberCN105678733A
Contribution Rank1
Document Type专利
Recommended Citation
GB/T 7714
史泽林,夏仁波,刘云鹏,等. 一种基于直线段上下文的红外与可见光异源图像匹配方法[P]. 2016-06-15.
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