计算机工程 ›› 2017, Vol. 43 ›› Issue (12): 237-241.doi: 10.3969/j.issn.1000-3428.2017.12.043

• 图形图像处理 • 上一篇    下一篇

基于主方向加权投票的非结构化道路消失点检测

潘奎刚,石朝侠   

  1. (南京理工大学 计算机科学与工程学院,南京 210094)
  • 收稿日期:2016-11-14 出版日期:2017-12-15 发布日期:2017-12-15
  • 作者简介:潘奎刚(1991—),男,硕士研究生,主研方向为图像处理;石朝侠,副教授。
  • 基金项目:
    国家自然科学基金(61371040)。

Vanishing Point Detection of Unstructured Road Based on Dominant Orientation Weighted Voting

PAN Kuigang,SHI Chaoxia   

  1. (School of Computer Science and Engineering,Nanjing University of Science and Technology,Nanjing 210094,China)
  • Received:2016-11-14 Online:2017-12-15 Published:2017-12-15

摘要: 为提高弯曲道路的消失点检测效果,提出一种新的非结构化道路消失点检测方法。利用垂直投影校正方法校正投票点的Gabor纹理主方向,采用纹理主方向和边缘信息对投票点上方的一系列投票点权值进行加权,并通过投票点权值完成主方向加权投票,从投票点中选择接收的投票值之和最多的候选点为消失点,从而实现消失点检测。实验结果表明,与现有非结构化道路消失点检测方法相比,该方法对于弯曲道路具有更低的运行时间及更高的检测准确率。

关键词: 非结构化道路, 消失点检测, 垂直投影校正, 投票点权值, 主方向加权投票

Abstract: In order to improve the vanishing point detection effect of curved road,this paper proposes a novel vanishing point detection method in the unstructured road.This method uses the vertical projection rectification method to rectify the dominant Gabor texture orientation of a voter,then a voter utilizes its dominant texture orientation and edge information to increase weights of some voters above it,and realizes dominant orientation voting with its weight,chooses a candidate vanishing point who accepts the largest sum of voting values from votes to be the vanishing point to detect the vanishing point.The experimental results show that,compared with the existing vanishing point detection methods of unstructured road,the proposed method has lower running time and higher detection accuracy for the winding road.

Key words: unstructured road, vanishing point detection, vertical projection rectification, voting point weight, dominant orientation weighted voting

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