摘要
基于飞行器航拍的智能巡检,能够避免传统人工巡检方式的诸多不便,成为新兴的输电线路巡检方式。为了消除光照对巡线图像的影响,提高后续故障识别的准确率,针对输电线路巡线这一特殊领域,以可见光图像为研究对象,对多种增强算法进行实验与比较,提出适用于输电线路图像识别与故障检测的图像增强算法。
Smart aerial patrol based on flight device is able to avoid the inconvenience of traditional manual patrol and it becomes a new patrol method for electric transmission line. In order to eliminate the effect of light on the patrol line image and improve subsequent fault recognition accuracy, In this paper, aiming at this special dimension i. e. patrol of electric transmission line, it takes the visible image as the subject for study to conduct and compare the experiments of a variety of enhancement algorithms, and proposes an image enhancement algorithm that is adequate for image recognition and fault detection of the electric transmission line.
出处
《电气自动化》
2016年第6期77-79,共3页
Electrical Automation
基金
国家高技术研究发展计划(863计划)(2015AA050204)
国网山东省电力公司科技项目
关键词
输电线路
状态检测
图像处理
直方图均衡化
同态滤波
RETINEX
electric transmission line
state detection
image processing
histogram equalization
homomorphic fihering
Retinex