一种基于图像特征点信息的误匹配点剔除改进算法
胡松;李超;王传银;杨明
【期刊名称】《成都信息工程学院学报》 【年(卷),期】2011(026)005
【摘要】误匹配点剔除是基于特征点图像匹配过程的重要一步,关系到图像匹配的精确度.在特征点匹配求精方面,改进基于特征点信息的误匹配点剔除算法,通过自适应特征点邻域半径得到的邻域特征点数量及位置信息进行逐步求精,克服原算法不能处理尺度变换的情形.实验结果表明,该算法简单高效,剔除误匹配点对能力较强,具有尺度、旋转不变性,同时,该算法具有较好的鲁棒性,正确性.能基本满足图像匹配的精度要求.%Outliers removal is an important step in the process of image matching and it influences the accuracy of image matching directly. In terms of refinement process of feature points matching, an improved outliers removal algorithm based on feature point is proposed in this paper. The quantity and position information of neighborhood feature points got by self-adaptive radius is used to refine the matching points. And it is invariant to image scaling in the improved algorithm. Experimental results show that the improved algorithm is simple and efficient. The ability to remove the outliers is strong and invariant to image scaling and rotation changes. Furthermore, the good performances of the robustness and correctness can stratify the basic accuracy requirements of image matching. 【总页数】5页(559-563)
一种基于图像特征点信息的误匹配点剔除改进算法
