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文章摘要
基于颜色分离与形态特征分析的保护压板定位及状态识别研究
Platen location and status recognition based on image processing and morphological features analysis
Received:April 13, 2020  Revised:April 23, 2020
DOI:10.19753/j.issn1001-1390.2023.04.010
中文关键词: 继电保护压板  RGB三分量色差  形态特征分析  位置定位  状态识别
英文关键词: Relay protection platen  RGB three component color difference  Morphological features analysis  Position location  Status recognition
基金项目:国家自然科学基金项目( 61863002)
Author NameAffiliationE-mail
panchengcheng College of Electrical Engineering,Guangxi University 1069318419@qq.com 
luquan* College of Electrical Engineering,Guangxi University luquan@gxu.edu.cn 
hulikun College of Electrical Engineering,Guangxi University hlk3email@163.com 
liqin College of Electrical Engineering,Guangxi University 416252469@qq.com 
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中文摘要:
      为了提高变电站中密集排布,颜色多样的拔插式压板智能识别水平,提出一种色差法与形态特征分析的保护压板定位及状态识别方法。该方法首先对采集的压板图像进行同态滤波增强与透视校正;其次,根据压板图像颜色特征,利用RGB三分量色差法结合形态特征分析实现有效压板区域的分割;然后,通过的矩形结构元素对有效压板区域进行膨胀,从而定位出每块压板区域的位置。最后,结合每块压板图像外接矩形框的形态特征与其重心位置的4联通区域灰度值总和判断出压板的投退状态。对不同拍摄角度及不同光照环境下的保护压板状态识别测试结果表明,该算法具有识别精度高、鲁棒性好的特点。
英文摘要:
      In order to improve the level of intelligent identification of platen with dense layout and various colors in substations, a method of protection platen location and state identification based on color difference method and morphological features analysis is proposed. In this method, homomorphic filter enhancement and perspective correction are carried out for the collected platen image; Secondly, according to the color characteristics of the platen image, RGB three component color difference method is used to segment the effective platen region in combination with morphological feature analysis; then, the effective platen regions are expanded by the rectangular structural elements to locate the position of each platen region. Finally, according to the morphological characteristics of the rectangular frame and the sum of the gray values of the four connected regions of the center of gravity of each pressing platen image, the pressing platen on / off state is determined. The test results of the state identification of the protection platen under different shooting angles and different lighting conditions show that the algorithm has the characteristics of high recognition accuracy and good robustness.
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