文章基本信息

标题：Infrared image-based detection method of electrical equipment overheating area in substation
本地全文：下载
作者：Songhai Fan ; Tianyu Li ; Yicen Liu 等
期刊名称：E3S Web of Conferences
印刷版ISSN：2267-1242
电子版ISSN：2267-1242
出版年度：2020
卷号：185
页码：1-6
DOI：10.1051/e3sconf/202018501034
出版社：EDP Sciences
摘要：For the detection of overheated areas of electrical equipment, in order to accurately segment outthe overheated areas and reduce the fault detection range, this paper proposes a new overheated areadetection algorithm. Firstly, the Ostu algorithm is used to remove the background and segment the generalarea of the electrical equipment area; secondly, the active contour model is used to refine the edge of thetarget area to remove the redundant edge points; finally, FCM clustering algorithm is used to suppress oversegmentation and accurately divide the overheated area. The experiment proves that the algorithm canaccurately divide the overheated area, and has certain practical value.
其他摘要：For the detection of overheated areas of electrical equipment, in order to accurately segment out the overheated areas and reduce the fault detection range, this paper proposes a new overheated area detection algorithm. Firstly, the Ostu algorithm is used to remove the background and segment the general area of the electrical equipment area; secondly, the active contour model is used to refine the edge of the target area to remove the redundant edge points; finally, FCM clustering algorithm is used to suppress over segmentation and accurately divide the overheated area. The experiment proves that the algorithm can accurately divide the overheated area, and has certain practical value.