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基于图像处理中霍夫变换的定位器坡度检测 被引量:6

Locator Slope Detection Based on Hough Transform in Image Processing
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摘要 定位器坡度检测是接触网中一项重要的安全性检测项目。针对目前定位器坡度检测方法效率低下,精度不高的现状,通过接触网关键悬挂自动巡查系统捕捉图像,对采集到的接触网定位装置图像进行处理,将图像中的定位器、定位管等装置细化成直线。然后根据霍夫变换理论,在极坐标下返回该直线特征,进而计算出定位装置中定位器的坡度。试验证明该算法具有较高的准确度。 Locator slope is an important safety test itemfor the catenary. Due to the inefficiency and inaccuracy of the current catenary locator method for slope measuring, an automatic inspection system of catenary suspension is used to collect images, which are then processed to refine the locator into a straight line. Based on the Hough transform theory, in polar coordinates the features of straight lines will be retured, which helps to calculate the slope of catenary locator. The experimental result shows that this algorithm has high precision.
出处 《城市轨道交通研究》 北大核心 2014年第5期32-36,共5页 Urban Mass Transit
关键词 高速铁路接触网 定位器坡度 图像处理 霍夫变换 highspeed railway catenary locator slope im- age processing Hough transform
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