摘要： 提出了一种利用颜色梯度的彩色图像特征点的匹配方法。结合图像特征点的颜色梯度信息和几何特征分别构造两幅图像的Laplacian矩阵，并对这两个矩阵进行奇异值分解。利用分解的结果构造出一个反映特征点之间匹配程度的关系矩阵，根据关系矩阵实现两幅图像的特征点匹配。大量实验结果表明，该文提出的算法具有较高的匹配精度。

关键词: 图像特征点, 匹配, Laplacian, 颜色直方图, 梯度

Abstract: An algorithm based on color gradient for image features points match is proposed. Color gradient information and geometric characteristic of the features of both images are mixed into Laplacian matrixes. The matrixes are decomposed by the singular value decomposion(SVD), a relation matrix that denotes the match degree among feature points is constructed by the result of the decomposition. The match feature points of the two images are obtained according to the relation matrix. Experimental results indicate that the algorithm has the higher matching precision.

Key words: image feature points match, match, Laplacian, color histogram, gradient

中图分类号: 

• TP391.41