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首页> 外文期刊>Journal of visual communication & image representation >Image registration using a point-line duality based line matching method
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Image registration using a point-line duality based line matching method

机译：使用基于点线对偶的线匹配方法进行图像配准

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摘要

In the paper, a Point-Line Duality (PLD), i.e. a line in the image (x-y) space corresponds to a point in the dual (6-p) space, based line matching method is proposed for image registration. First, edge points are detected in a template image and a target image. The edge points are linked and segmented into chains. The chains are fitted to lines, and the lines are mapped to dual points in the dual space. To improve stability and efficiency, a point merging algorithm is proposed to deal with the fragmentary line segments that should belong to a single line. As a result, a line matching problem is converted to a point pattern matching problem. Finally, a point pattern matching algorithm is proposed to determine registration parameters and to determine matched line pairs. Experimental results demonstrate that the proposed method is effective for images under rigid body transformation, occlusion, and illumination change.
机译：在本文中，点线对偶性（PLD），即图像（x-y）空间中的一条线对应于对偶（6-p）空间中的点，提出了一种基于线匹配的方法进行图像配准。首先，在模板图像和目标图像中检测边缘点。边缘点被链接并分段为链。将链拟合到直线，并将直线映射到对偶空间中的对偶点。为了提高稳定性和效率，提出了一种点合并算法来处理应该属于单个线的片段线段。结果，线匹配问题被转换为点图案匹配问题。最后，提出了一种点模式匹配算法来确定配准参数并确定匹配的线对。实验结果表明，该方法对刚体变形，遮挡和光照变化下的图像均有效。

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