• 图形图像处理 •

### 基于改进线段分割检测的电线杆遮挡检测算法

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

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.