LI Bing, XU Haowen, JU Tiangong, et al. Application of clustering algorithms in fast detection of blind elements in infrared image of power equipment[J]. 2020, (11): 158-160.
LI Bing, XU Haowen, JU Tiangong, et al. Application of clustering algorithms in fast detection of blind elements in infrared image of power equipment[J]. 2020, (11): 158-160. DOI: 10.13873/J.1000-9787(2020)11-0158-03.
In order to solve the problems of the existing blind element detection algorithm
low efficiency
not suitable for the power equipment monitoring system
and lack of adaptability to the block blind element
a fast blind detection algorithm based on clustering algorithm is proposed. The appropriate gray scale difference threshold is selected by selecting the appropriate dead pixel and superheated pixel reference center. Whether or not the gradation value of each pixel point and the gradation difference of the reference point exceed the threshold value is used as a judgment basis. Since each pixel point only needs to be compared with the reference point twice
the algorithm operation time is effectively reduced
and the relative error Q is introduced to verify the detection precision of the algorithm. The experimental simulation also shows that the proposed method has better detection precision.