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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
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
Department光电信息技术研究室
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
Country中国
Subtype发明
Status实审
Abstract本发明涉及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,包括以下过程:采用LSD算法检测出图像中的直线段,并按照几何约束规则挑选出关键直线段;通过改进的图像角点检测方法检测角点;通过计算特征点四象限邻域内线段的曼哈顿距离,得到每条直线段对特征点的贡献,在此基础上采用圆形阵列的方式,构建基于直线段上下文的特征描述子;运用双向匹配策略和RANSAC算法实现红外与可见光图像的匹配。本发明的算法可以获取到更多正确的匹配点对,能够适应灰度差异较为严重的红外与可见光图像的精确匹配,并且在鲁棒性和时间效率方面都要优于主流异源图像匹配算法。
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
2016-06-15
Application NumberCN201410669821.4
Open (Notice) NumberCN105678733A
Language中文
Contribution Rank1
Document Type专利
Identifierhttp://ir.sia.cn/handle/173321/18961
Collection光电信息技术研究室
Affiliation中国科学院沈阳自动化研究所
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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