Extracting Straight Lines from Building Image Based on Edge Orientation Image

Weili, 丁伟利 Ding; Wenfeng, 王文锋 Wang; Xuguang, 张旭光 Zhang; Liancheng, 苏连成 Su

doi:10.3788/aos20103010.2904

Cited by 7 publications

(1 citation statement)

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“…Then, we add the next points to the recognised line segment until there is a point whose distance d err to the fitted straight line satisfies d err > T err . Here, T err is a threshold value used to judge whether a point is on the fitted straight line [22]. In this way, each contour is further decomposed into several line segments and the orientation of each line segment can be written as [23, 24] follows:

θ_{i} = \tan^{- 1} a_{i} .

On the basis of the above algorithm, the approximate straight lines in the road region can be obtained.…”

Section: Proposed Algorithmmentioning

confidence: 99%

Efficient vanishing point detection method in unstructured road environments based on dark channel prior

Ding

Liu

2016

IET Computer Vision

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Vanishing point detection is a key technique in the fields such as road detection, camera calibration and visual navigation. This study presents a new vanishing point detection method, which delivers efficiency by using a dark channel prior‐based segmentation method and an adaptive straight lines search mechanism in the road region. First, the dark channel prior information is used to segment the image into a series of regions. Then the straight lines are extracted from the region contours, and the straight lines in the road region are estimated by a vertical envelope and a perspective quadrilateral constraint. The vertical envelope roughly divides the whole image into sky region, vertical region and road region. The perspective quadrilateral constraint, as the authors defined herein, eliminates the vertical lines interference inside the road region to extract the approximate straight lines in the road region. Finally, the vanishing point is estimated by the meanshift clustering method, which are computed based on the proposed grouping strategies and the intersection principles. Experiments have been conducted with a large number of road images under different environmental conditions, and the results demonstrate that the authors’ proposed algorithm can estimate vanishing point accurately and efficiently in unstructured road scenes.

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