Substation Equipment Image Recognition Based on SIFT Feature Matching

Video surveillance system in the substation will enable operation and maintenance staffs to monitor on-site power equipments. But there's a variety of on-site equipments, it is necessary to add image recognition technology to the system. In this paper, a substation equipment image recognition method based on SIFT feature matching is proposed. To perform SIFT feature matching between the template image and the monitoring image of the substation equipment, mismatches are eliminated by means of RANSAC algorithm and the relative distance ratio being equal method. The edge of the template image is gotten through OTSU segmentation. At last, the location of the template image is marked in monitoring image. Comparison of experimental results show that the proposed method can more correct and effective than the original SIFT method, and it can accomplish well substation equipment image recognition.