计算机工程与应用2019，Vol.55Issue(14)：182-190,9.DOI:10.3778/j.issn.1002-8331.1804-0306
融合边缘信息和扩展邻域的异源图像匹配
Multi-Source Image Matching Based on Edge Information and Extended Neighborhood
摘要
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 sep-arately 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 struc-tural characteristics of the extended neighborhood around the matching pairs in edge detection images. Final results of exper-iments with different images demonstrate the effectiveness and value of the proposed method for improving the accuracy of visible and infrared image matching.关键词
图像匹配/边缘提取/Harris-SIFT/邻域校验Key words
image matching/edge extraction/Harris-SIFT/neighbor verification分类
信息技术与安全科学引用本文复制引用
李佳芮,黄斯翀,徐修贤,康希睿,汪沛..融合边缘信息和扩展邻域的异源图像匹配[J].计算机工程与应用,2019,55(14):182-190,9.基金项目
北京市自然科学基金(No.6164037) （No.6164037）
大学生创新创业项目基金(No.201710022076). （No.201710022076）
