本文選題：鐵路軌道 + 邊緣提取　； 參考：《鐵道學(xué)報》2017年08期

【摘要】：近景攝影測量應(yīng)用于鐵路軌道幾何平順性檢測具有較大潛力,為獲得軌道幾何狀態(tài)參數(shù),需對軌道數(shù)字影像進行定向與建模,本文探索一種高速鐵路近景影像軌道邊緣提取方法并構(gòu)建軌道邊緣線的同名點坐標映射模型。根據(jù)軌道數(shù)字影像的灰度信息與點位分布特點,利用Canny算法和概率Hough變換提取鐵路軌道的內(nèi)邊緣特征,采用ORB算法與KNN算法匹配軌道表面同名點,建立軌道表面同名點的坐標對應(yīng)關(guān)系。利用邊緣線與軌道表面幾何關(guān)系,構(gòu)建軌道邊緣線的多項式映射模型以匹配出邊緣同名點。試驗結(jié)果表明,該方法在軌道邊緣識別與同名點匹配方面有較高的可靠性,可為高速鐵路軌道幾何狀態(tài)檢測提供影像處理技術(shù)支持。
[Abstract]:Close range photogrammetry has great potential for railway track geometric smoothness detection. In order to obtain orbital geometric state parameters, it is necessary to orientate and model the orbital digital image. In this paper, a method of track edge extraction for high speed railway near view image is explored and the coordinate mapping model of the same point of track edge line is constructed. The features of gray information and point distribution of the image are used to extract the inner edge features of railway track by using Canny algorithm and probability Hough transform, and using the ORB algorithm and KNN algorithm to match the same point of the orbital surface to establish the coordinate correspondence of the same name points on the track surface. The mapping model is used to match the edges of the same name points. The experimental results show that the method has high reliability on the track edge recognition and the matching of the same name points. It can provide image processing technology for high-speed rail geometric state detection.

【作者單位】： 西南交通大學(xué)測繪遙感信息系;
【基金】：國家自然科學(xué)基金(41472255)
【分類號】：TP391.41;U216.3

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本文編號：1823103