红外技术Issue(11)：934-938,5.
基于BRISK的模板匹配在变电设备红外监测中的应用
Application of BRISK Based Template Matching in Infrared Image Monitoring for Substation Equipment
摘要
Abstract
In order to improve the efficiency of infrared monitoring on power system equipment and monitoring multiple targets at the same time, an improved substation equipment infrared image recognition method based on Binary Robust Invariant Scalable Keypoints(BRISK)is proposed. The method first extracts the feature points of the template image and the monitored image using BRISK algorithm, and generates the binary descriptors; then applies a sliding detection window to search the multiple suspected target areas, then determines the correct matching points by Hamming distance;so we can locate the target area on the monitored image. Some experiments are taken to investigate the performance of the method; the result shows that this method can significantly reduces the amount of computation, fully meets the requirements of real-time systems. This method improves the efficiency of infrared monitoring on power system equipment.关键词
模板匹配/BRISK/变电设备/红外监测Key words
template matching/BRISK/substation equipment/infrared monitoring分类
信息技术与安全科学引用本文复制引用
钱卫东,王建平,赵宝瑞,徐国智,戚银城..基于BRISK的模板匹配在变电设备红外监测中的应用[J].红外技术,2014,(11):934-938,5.基金项目
国家电网公司科技项目，编号SGGSLZ00YJJS1300208。 （）
