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Comparison of Edge Operators for Detection of Vanishing Points

机译:边缘算子在消失点检测中的比较

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This paper describes a comparative study of edge operators for the task of detecting dominant vanishing points in the image. Segmentation of line is required in order to detect the vanishing points. Three edge operators such as Sobel, Canny, and LoG (Laplacian of Gaussian) are used in order to compare that edge has influence on detecting the vanishing points. Most of line segments are obtained based on edge detection. The vanishing points are estimated by MSAC (m-estimator sample consensus) based algorithm. First, lines are extracted from edge images produced by edge operators. Second, vanishing points are obtained. The results of line segments and vanishing points detection are compared and discussed. The comparison is carried out based on the result of implementation on images with different buildings.
机译:本文介绍了边缘算子的比较研究,该算子用于检测图像中的主要消失点。为了检测消失点,需要对线进行分段。为了比较边缘对检测消失点的影响,使用了三个边缘算子,例如Sobel,Canny和LoG(高斯拉普拉斯算子)。大部分线段是基于边缘检测获得的。消失点通过基于MSAC(m估计量样本共识)的算法进行估计。首先,从边缘算子产生的边缘图像中提取线。第二,获得消失点。比较和讨论了线段和消失点检测的结果。比较是基于对具有不同建筑物的图像的实施结果来进行的。

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