Utility Pole Occlusion Detection Algorithm Based on Improved Line Segmentation Detection
摘要
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.