高电压技术2018，Vol.44Issue(8)：2493-2500,8.DOI:10.13336/j.1003-6520.hve.20180731008
基于改进色差法的复合绝缘子图像分割技术
Composite Insulator Images Segmentation Technology Based on Improved Color Difference
摘要
Abstract
In view of shadows or dark regions of composite insulator surface under the condition of natural light, insulator cannot be accurately segmented. Consequently, we put forward a kind of composite insulator images segmentation method based on improved color differences. Firstly, the area of the composite insulator in the collected image is divided into three parts, namely, the bright, normal, and dark. After the light and dark areas are compensated separately, the insulator image is re-synthesized. Secondly, according to color component extraction and analysis, an improved color difference method is presented to obtain the optimal color difference image. Finally, the Otsu adaptive threshold algorithm combined with the region mark and geometric shape analysis is used to segment insulator, so as to realize the accurate identification of the non-uniform illumination composite insulator of the transmission line. The experimental results show that the proposed method can provide a complete and accurate segmentation of the insulator, which provides a useful reference for the subsequent insulator feature extraction and fault analysis. By comparing the method with the traditional threshold segmentation method and the 2 R-G-B (Red, Green and Blue) color difference method, the average segmentation error is 8.18％, 36.12％, 27.88％, respectively, and the segmentation error is reduced by 27.94％ and 19.70％, especially for low light and strong light, the insulator segmentation efficiency is increased by more than 30％.关键词
复合绝缘子/光照不均/同态滤波/色差法/图像分割Key words
composite insulator/non-uniform illumination/homomorphic filter/color difference/image segmentation引用本文复制引用
黄新波,张慧莹,张烨,刘新慧,邢晓强,杨璐雅..基于改进色差法的复合绝缘子图像分割技术[J].高电压技术,2018,44(8):2493-2500,8.基金项目
陕西省重点科技创新团队计划(2014KCT-16) （2014KCT-16）
陕西省协同创新计划项目(2014XT-07) （2014XT-07）
陕西省工业科技攻关项目(2016GY-052) （2016GY-052）
陕西省自然科学基础研究计划(2017JQ6054) （2017JQ6054）
西安工程大学博士启动基金(BS1505).Project supported by Key Science and Technology Project of Shaanxi Innovation Team(2014KCT-16), The Collaborative Innovation Project of Shaanxi Province(2014XT-07), The Shaanxi Industrial Science and Technology Tackling Key Problems Fund(2016GY-052), Natural Science Foundation of Shaanxi-Youth Fund(2017JQ6054), The Doctoral Startup Fund of Xi’an Polytechnic University(BS1505). （BS1505）
