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
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
参考文献(References):
- [1]霍丹,吴靖,宋东驰,等.就地化保护检修安全策略研究[J].浙江电力,2017,36(9):28-32.HUO Dan,WU Jing,SONG Dongchi,et al.Research on security strategy for local protection maintenance[J].Zhejiang Electric Power,2017,36(9):28-32.
- [2]王伟,张彦龙,翟登辉,等.基于OpenCV+SSD深度学习模型的变电站压板状态智能识别[J].电测与仪表,2022,59(1):106-112.WANG Wei,ZHANG Yanlong,ZHAI Denghui,et al.Intelligent identification of substation pressure plate state based on OpenCV+SSD deep learning model[J].Electrical Measurement&Instrumentation,2022,59(1):106-112.
- [3]王业,崔玉,陆兆沿,等.基于CNN图像识别算法的保护装置智能巡视技术[J].电力工程技术,2022,41(6):252-257.WANG Ye,CUI Yu,LU Zhaoyan,et al.Intelligent inspection technology of protection device based on convolution neural network image recognition algorithm[J]. Electric Power Engineering Technology,2022,41(6):252-257.
- [4]姚景岩,舒征宇,高健,等.基于图像融合的保护压板运行状态辨识方法研究[J].电测与仪表,2021,58(8):88-96.YAO Jingyan,SHU Zhengyu,GAO Jian,et al.Research on operation state identification method of protection platen based on image fusion[J].Electrical Measurement&Instrumentation,2021,58(8):88-96.
- [5]王志坚,苏雁飞,李景新.变电站压板智能检测技术及其应用[J].电工技术,2012(12):17-19.WANG Zhijian,SU Yanfei,LI Jingxin. Intelligent detection technology of substation pressure plate and its application[J].Electric Engineering,2012(12):17-19.
- [6]姚景岩,舒征宇,高健,等.基于图像融合的保护压板运行状态辨识方法研究[J].电测与仪表,2021,58(8):88-96.YAO Jingyan,SHU Zhengyu,GAO Jian,et al.Research on operation state identification method of protection platen based on image fusion[J].Electrical Measurement&Instrumentation,2021,58(8):88-96.
- [7]付文龙,谭佳文,吴喜春,等.基于图像处理与形态特征分析的智能变电站保护压板状态识别[J].电力自动化设备,2019,39(7):203-207.FU Wenlong,TAN Jiawen,WU Xichun,et al.Protection platen status recognition based on image processing and morphological feature analysis for smart substation[J].Electric Power Automation Equipment,2019,39(7):203-207.
- [8]李铁成,任江波,刘清泉,等.继电保护压板图像识别与模型聚类匹配[J].哈尔滨理工大学学报,2021,26(4):70-77.LI Tiecheng,REN Jiangbo,LIU Qingquan,et al. Image recognition and model cluster matching of relaying plate[J].Journal of Harbin University of Science and Technology,2021,26(4):70-77.
- [9]王伟,张彦龙,翟登辉,等.基于OpenCV+SSD深度学习模型的变电站压板状态智能识别[J].电测与仪表,2022,59(1):106-112.WANG Wei,ZHANG Yanlong,ZHAI Denghui,et al.Intelligent identification of substation pressure plate state based on OpenCV+SSD deep learning model[J].Electrical Measurement&Instrumentation,2022,59(1):106-112.
- [10]程鑫,刘一鹏,彭程,等.基于边缘检测与霍夫变换的螺钉视觉识别[J].数字制造科学,2022,20(3):163-168.CHENG Xin,LIU Yipeng,PENG Cheng,et al.Visual recognition of screw based on edge detection and Hough transform[J].Digital Manufacture Science,2022,20(3):163-168.
- [11]蔡英凤,张田田,王海,等.基于实例分割和自适应透视变换算法的多车道线检测[J].东南大学学报(自然科学版),2020,50(4):775-781.CAI Yingfeng,ZHANG Tiantian,WANG Hai,et al.Multi-lane detection based on instance segmentation and adaptive perspective transformation[J]. Journal of Southeast University(Natural Science Edition),2020,50(4):775-781.
- [12]李珣,王高平,李林鹏,等.基于RGB-D图像的物体识别方法[J].西安工程大学学报,2021,35(4):55-70.LI Xun,WANG Gaoping,LI Linpeng,et al.Object recognition methods based on RGB-D images[J].Journal of Xi’an Polytechnic University,2021,35(4):55-70.
- [13]齐荣霞.复杂光照环境下人脸图像预处理优化算法研究[J].电脑知识与技术,2019,15(33):218-220.QI Rongxia.Research on optimization algorithm of face image preprocessing in complex lighting environment[J].Computer Knowledge and Technology,2019,15(33):218-220.
- [14]苏展,张防震,王瑞,等.基于RGB+HSI颜色模型的早期火焰检测算法研究[J].河南教育学院学报(自然科学版),2021,30(3):28-32.SU Zhan,ZHANG Fangzhen,WANG Rui,et al.Research on early flame detection algorithm based on RGB+HSI color model[J]. Journal of Henan Institute of Education(Natural Science Edition),2021,30(3):28-32.
- [15] ZHANG X W,LIANG L Y,DUAN D Q,et al.A novel method of face detection based on fusing YCbCr and HIS color space[C]//2009 IEEE International Conference on Automation and Logistics. August 5-7,2009,Shenyang,China. IEEE,2009:831-835.
- [16]文昊天,王小鹏,杨文婷,等.基于椭圆结构元素的自适应形态学运算方法[J].传感器与微系统,2021,40(2):150-153.WEN Haotian,WANG Xiaopeng,YANG Wenting,et al.Adaptive morphological operation method based on elliptic structural elements[J]. Transducer and Microsystem Technologies,2021,40(2):150-153.
- [17]吴潜,居太亮,姚伯威.应用种子填充算法提取图像的形状特征[J].电讯技术,2001,41(4):88-90.WU Qian,JU Tailiang,YAO Bowei.Using seed-fill algorithm to get shape character of image[J].Telecommunication Engineering,2001,41(4):88-90.
- [18]陈名,杨慧中.基于种子点替代像素块算法的粘连细胞图像分割[J].南京理工大学学报,2018,42(3):266-270.CHEN Ming,YANG Huizhong.Segmentation of adherent cell image based on seed point substituting pixel block algorithm[J].Journal of Nanjing University of Science and Technology,2018,42(3):266-270.
- [19]黄超,茅健,徐斌,等.基于最小外接矩形和Hough变换的定位算法[J].组合机床与自动化加工技术,2021(8):66-71.HUANG Chao,MAO Jian,XU Bin,et al.Location algorithm based on minimum enclosing rectangle and Hough transform[J].Modular Machine Tool&Automatic Manufacturing Technique,2021(8):66-71.
- [20]曹源文,杨国林,张莹莹,等.基于最小外接矩形的集料颗粒形状特征快速评价方法研究[J].重庆交通大学学报(自然科学版),2019,38(6):61-65.CAO Yuanwen,YANG Guolin,ZHANG Yingying,et al.Rapid evaluation method of shape characteristics of aggregate particle based on the minimum outer rectangle[J].Journal of Chongqing Jiaotong University(Natural Science),2019,38(6):61-65.
- 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