一种结合灰度和边缘信息的局部特征描述算法

Local feature description algorithm based on gray and edge information

针对单一特征引导图像匹配的准确度有限,提出了一种同时使用灰度和边缘信息的特征描述子。该描述子将图像的几何特征与灰度信息结合起来,首先计算每个特征点的灰度对比直方图,然后引入边缘属性以增强边缘的匹配。实验结果表明,该算法由于同时采用灰度信息与边缘信息引导图像匹配,其匹配效果好于单独使用灰度或边缘的图像匹配算法,在一定程度上降低了误匹配率,同时满足旋转和光照不变性,对图像灰度变化和噪声不敏感,具有良好的匹配性能。

Due to the limitation of image match introduced by one kind of feature, a feature descriptor using gray and edge information is proposed. The descriptor combines geometrical characteristics with gray information. Firstly, it calculates the contrast context histogram of each feature point. Then, the edge information is introduced to enhance the edge matching.The experiment re- suits indicate that the results of the proposed algorithm are better than those of other methods that only use the gray information or edge information, and the algorithm can reduce the rate of mismatch in a certain extent. At the same time, the proposed algorithm satisfies the invariance of rotation and illumination and is in sensitive to gray change and noise with a good match performance.