关键词: 图像匹配, 边缘提取, Harris-SIFT, 邻域校验

Abstract: A new Harris-SIFT matching method based on edge information is proposed to solve the visible and infrared image matching problem. Firstly, in preprocessing procedure, the Retinex edge enhancement method is performed on the infrared image, and then the bilateral filtering processing is performed on the visible and the processed infrared image separately in order to enhance the similarity of the edge structure of two types of images. Secondly, Sobel operator is used to extract edge information, and an algorithm based on the Harris-SIFT method is adopted to detect the feature points in a edge detection image and build corresponding feature descriptors. Next, a method using the ratio of the closest neighbor and second closest neighbor is included in the rough matching process and RANSAC algorithm in the precise matching. At last, matching accuracy is further improved by means of a quick checking method that verifies the consistency of structural characteristics of the extended neighborhood around the matching pairs in edge detection images. Final results of experiments with different images demonstrate the effectiveness and value of the proposed method for improving the accuracy of visible and infrared image matching.

Key words: image matching, edge extraction, Harris-SIFT, neighbor verification