INFRARED IMAGE-BASED DETECTION METHOD OF ELECTRICAL EQUIPMENT OVERHEATING AREA IN SUBSTATION

Infrared image-based detection method of electrical equipment overheating area in substation

Infrared image-based detection method of electrical equipment overheating area in substation

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For the detection of overheated areas of electrical equipment, GABA 250MG 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 ANABOLIC PEAK VANILLA 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.

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