红外技术2018，Vol.40Issue(1)：27-33,7.
一种基于BRISK改进的SURF红外图像拼接方法
An Improved SURF Infrared Image Mosaic Method Based on BRISK
樊佩琦 1吴诚 1杨瑞宇 1柯伟 1苏兰 1胡志斌 1苏俊波1
作者信息
摘要
Abstract
In the practical application of infrared image mosaic technology, in addition to the requirement of high stitching precision, the stitching speed should be increased as much as possible. In this paper, an improved SURF method, in which the BRISK descriptor and the Canny edge detection are applied to SURF feature extraction, is proposed based on the practical application requirements of infrared image mosaic technology. In the phase of feature extraction, SURF feature point detection is combined with Canny edge detection and the BRISK descriptor effectively to create the Edge SURF-BRISK feature. In the phase of feature matching, the threshold-adaptive hierarchical clustering method is adopted as the search strategy, and the RANSAC algorithm is used to eliminate the feature points of mismatching. In the phase of image fusion, the image gap is eliminated by a weighted fusion method. Experiments show that the infrared image mosaic method in this study can effectively improve the matching accuracy and stitching speed when stitching infrared images in complex scenes.关键词
红外图像拼接/边缘SURF-BRISK特征点/层次聚类Key words
infrared image mosaic/edge SURF-BRISK feature/Hierarchical clustering分类
信息技术与安全科学引用本文复制引用
樊佩琦,吴诚,杨瑞宇,柯伟,苏兰,胡志斌,苏俊波..一种基于BRISK改进的SURF红外图像拼接方法[J].红外技术,2018,40(1):27-33,7.
