Infrared image of electrical equipment enhancement using grey wolf adaptive nonlocal mean denoising and adaptive fuzzy enhancement

2021 ◽  
Author(s):  
Xin Zhang ◽  
Xikui Sheng ◽  
Chunsheng Li ◽  
Jiaxiang Zhu ◽  
Shanshan Li ◽  
...  
Keyword(s):  
Infrared Image ◽  
Electrical Equipment ◽  
Grey Wolf ◽  
Adaptive Fuzzy ◽  
Fuzzy Enhancement

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

2020 ◽  
Vol 185 ◽  
pp. 01034
Author(s):  
Songhai Fan ◽  
Tianyu Li ◽  
Yicen Liu ◽  
Yiyu Gong ◽  
Kunjian Yu
Keyword(s):  
Active Contour ◽  
Clustering Algorithm ◽  
Active Contour Model ◽  
Infrared Image ◽  
Electrical Equipment ◽  
Detection Algorithm ◽  
Target Area ◽  
Detection Range ◽  
Edge Points ◽  
Fcm Clustering

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.

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