微型电脑应用2025，Vol.41Issue(2)：149-152,161,5.
多尺度智慧变电站全景巡检图像显著性区域检测模型
Multi-scale Intelligent Substation Panoramic Inspection Image Saliency Region Detection Model
张小东 1王晶 1吴相荣 2史浩鹏 3李瑞3
作者信息
- 1. 国网甘肃省电力公司,甘肃,兰州 730030
- 2. 国网思极飞天(兰州)云数科技有限公司,甘肃,兰州 730050
- 3. 国网甘肃省电力公司平凉供电公司,甘肃,平凉 744000
- 折叠
摘要
Abstract
In order to find out the hidden dangers of the core components of the substation and repair them in time,and prevent major accidents,a multi-scale intelligent substation panoramic inspection image saliency region detection model is proposed.The linear combination is used to integrate the initial data into the main component,replace the original high-dimensional data,obtain the posterior expectation of the model's internal parameters,and remove the noise component.Through the significant feature vector of the invariant moment of target recognition,the kernel function is selected to change the space,and the feature vector is brought into the support vector machine to obtain the reasonable extreme value.According to the efficiency and accu-racy of feature point matching,the positional relationship between the saliency region of the registered image and the reference image is constructed,the regularized cross-correlation number that does not exceed the pixel points is calculated,the mis-matched feature point pairs are eliminated,the coordinates of the corresponding pixels in the image are obtained,and the detec-tion of the saliency region is realized.Experiments show that the proposed method can distinguish the background and the tar-get in the patrol image,and the texture details are clear and the detection accuracy is high.关键词
智慧变电站/全景巡检图像/显著性区域检测/图像预处理/区域背景分离Key words
intelligent substation/panoramic inspection image/saliency region detection/image preprocessing/regional back-ground separation分类
动力与电气工程引用本文复制引用
张小东,王晶,吴相荣,史浩鹏,李瑞..多尺度智慧变电站全景巡检图像显著性区域检测模型[J].微型电脑应用,2025,41(2):149-152,161,5.
