同济大学学报（自然科学版）2013，Vol.41Issue(2)：277-281,5.DOI:10.3969/j.issn.0253-374x.2013.02.021
基于航拍图像的输电线路异物识别
Recognition of Extra Matters on Transmission Lines Based on Aerial Images
摘要
Abstract
An extra matters recognition method was proposed to sift images with extra matters from amounts of power system images, aiming at improving the detection efficiency on the fault point in transmission line patrol for the potential extra matters danger in the transmission corridor. First, the Otsu self-adaptation threshold segmentation algorithm was improved to segment the aerial images based on the mathematical morphology algorithm. Then a new filter algorithm to extract target image based on the geometrical characteristic of straight line was proposed to filter the rest of background. In addition, the transmission line edges were calculated via gradient. Then the local maxima in Hough transfer accumulator and the final line number were chosen as feature vectors to recognize extra matters. Finally, an interface was developed to verify the algorithm. The result shows that with this method, all the images with extra matters can be sifted, which guarantees the power system.关键词
输电线路/异物识别/复杂背景/航拍图像/霍夫变换Key words
transmission lines/ recognition of extra matters/ cluttered background/ aerial image/ Hough transform分类
数理科学引用本文复制引用
金立军,姚春羽,闫书佳,张文豪..基于航拍图像的输电线路异物识别[J].同济大学学报（自然科学版）,2013,41(2):277-281,5.基金项目
国家自然科学基金(51177109) （51177109）
