TRANSMISSION LINE EXTRACTION AND RECOGNITION FROM NATURAL COMPLEX BACKGROUND

摘要：

With increasing of the use of helicopters for transmission line inspection, the image processing technology is used to inspect the status of the transmission lines. In this paper, an algorithm of transmission line automatic extraction and recognition from natural complex background in aerial images is presented. A developed Marr-Hildrcth edge detecting algorithm was used to enhance the linear features of the original image, and Hough transform was used to extract the line and curve from the image, at last, the morphological analysis is used to recognize the transmission lines between the transmission lines and background objects. The experimental results show that the proposed method can successfully extract and recognize the transmission lines regardless of background complexity, and it also proves that the algorithm is effective and practical.

关键词： Transmission line Image processing Hough transform Morphological analysis Eztraction and recognition

作者: WEI-GUO TONG BAO-SHU LI JIN-SHA YUAN SHU-TAO ZHAO

作者单位: School of Control Science & Engineering, North China Electric Power University, Baoding, 071003, Chi School of Electrical & Engineering, North China Electric Power University, Baoding, 071003, China

会议类型: 国际会议

会议名称: 2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)

会议地点: 保定

会议语种:英文

页码: 2473-2477

在线出版日期: 2009-07-12（万方平台首次上网日期，不代表论文的发表时间）