计算机工程

• 图形图像处理 • 上一篇    下一篇

基于改进线段分割检测的电线杆遮挡检测算法

李涛 1a,1b,陈黎 1a,1b,聂晖 2   

  1. (1.武汉科技大学 a.计算机科学与技术学院b.智能信息处理与实时工业系统湖北省重点实验室,武汉 430065; 2.武汉东智科技有限公司,武汉 430060)
  • 收稿日期:2016-08-23 出版日期:2017-09-15 发布日期:2017-09-15
  • 作者简介:李涛(1987—),男,硕士研究生,主研方向为图像处理;陈黎,教授、博士;聂晖,博士。
  • 基金项目:
    国家自然科学基金(61375017)。

Utility Pole Occlusion Detection Algorithm Based on Improved Line Segmentation Detection

LI Tao 1a,1b,CHEN Li 1a,1b,NIE Hui 2   

  1. (1a.College of Computer Science and Technology; 1b.Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System,Wuhan University of Science and Technology,Wuhan 430065,China; 2.Wuhan Eastwit Technology Co.Ltd.,Wuhan 430060,China)
  • Received:2016-08-23 Online:2017-09-15 Published:2017-09-15

摘要: 针对监控视频中的电线杆遮挡问题,提出一种改进的线段分割检测(LSD)算法。将RGB图像进行双边滤波,并将滤波后的图像转换到HSV空间,在HSV彩色空间内利用矢量求导方法计算彩色图像的梯度和方向,利用LSD算法实现图像直线的提取。对直线进行合并得到矩形区域,采用矩形区域在H和S分量的标准差之积和结构相似度确定候选区域,通过合并候选区域完成电线杆检测。实验结果证明,提出算法的准确率可达到89.40%,能够有效并且准确地检测出电线杆遮挡。

关键词: 电线杆检测, 线段分割检测算法, 结构相似度, 直线合并, HSV空间, 遮挡检测

Abstract: For the utility pole occlusion in monitoring videos,this paper proposes an improved Line Segmentation Detection(LSD) algorithm.After bilateral filtering,the RGB image is converted to HSV color space.The vector derivation method is used to compute gradients and directions of color images in HSV color space.And LSD algorithm is used to achieve the extraction of image lines.The rectangular regions are obtained by merging the lines.The candidate region is gained by the product of standard deviations of H weight and S weight as well as the structure similarity in rectangle regions.Utility pole detection is realized by combining candidate regions.Experimental results show that,the accuracy rate of the proposed algorithm is up to 89.40%,and it can effectively and accurately detect utility pole occlusion.

Key words: utility pole detection, Line Segmentation Detection(LSD) algorithm, structure similarity, line merging, HSV space, occlusion detection

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