浙江电力

2023, v.42;No.332(12) 88-97

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基于HSI颜色特征的变电站压板状态识别方法
A state recognition method for substation protection plate based on HSI color characteristics

殷志敏,罗朝丰,韦东,岳灵平,陆璐,张宸,徐涵青
YIN Zhimin,LUO Chaofeng,WEI Dong,YUE Lingping,LU Lu,ZHANG Chen,XU Hanqing

摘要(Abstract):

针对当前变电站压板状态识别存在未充分考虑复杂光照因素以及在图像分割过程中未考虑连通域粘连的问题,提出了一种基于HSI(色调-饱和度-亮度)颜色特征和图像处理技术的压板状态识别方法。首先对采集的压板图像进行畸变矫正预处理;接着利用HSI颜色特征提取技术对图像进行分割处理;然后对连通域进行形态特征分析,利用连通域的边界信息去除标识牌,并利用极限腐蚀算法实现粘连连通域的分离;最后基于简单最小外接矩形边界特征与面积最小外接矩形的偏转角度特征融合识别压板状态。通过与传统RGB(三原色)颜色分割方法、单一长宽比识别方法进行对比试验,结果表明该方法在识别率上有较大提升,具有一定的工程应用价值。
The process of identifying substation protection plates faces challenges due to the complex lighting factors that are often inadequately considered. Furthermore, connected domain adhesion during image segmentation tends to be overlooked. Consequently, a recognition method for substation protection plate that leverages HIS(hue, saturation, intensity) color characteristics and employs image processing techniques is introduced. Firstly, the images of the captured protection plate are preprocessed to correct the distortions; then, these images are segmented using HIS color characteristics. Secondly, morphological feature analysis is carried out on the connected domains; the boundary information within these domains is used to eliminate the signboards, and the limit corrosion algorithm is employed to separate the adhesive connected domains. Finally, the state of the protection plate is identified through the fusion of two key features: the boundary feature of the simple minimum bounding rectangle and the deflection angle feature of minimum area bounding rectangle. In a comparative test against the traditional RGB(red, green, blue) color segmentation method and a recognition method based on single aspect ratio, the results demonstrate a substantial improvement in the recognition rate. This method exhibits practical value for engineering applications.

关键词(KeyWords): 压板;HSI颜色分割;图像处理;外接矩形;状态识别
protection plate;HSI color segmentation;image processing;bounding rectangle;state identification

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金资助项目(51977156)

作者(Author): 殷志敏,罗朝丰,韦东,岳灵平,陆璐,张宸,徐涵青
YIN Zhimin,LUO Chaofeng,WEI Dong,YUE Lingping,LU Lu,ZHANG Chen,XU Hanqing

DOI: 10.19585/j.zjdl.202312011

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