An Improved Hough Transform for Line Detection
The Hough transform is a popular robust method for detecting lines in an image. However, the computational complexity and storage requirements are the main bottlenecks of the standard Hough transform (SHT) applied on real-time detection. Therefore, many variations on Houghs original transform have been proposed to alleviate the computational and storage burden. In this paper, an improved Hough transform for line detection is proposed, which shares the similar characteristic of the modified Hough transform (MHT) and the Windowed random Hough transform (RHT). The proposed method employs the many-to-one mapping and sliding window neighborhood technique to alleviate the computational and storage load. Extensive experiments indicate that the proposed method has achieved a much better performance than the previous variations of Hough transform.
hough transform line detection many-to-one mapping local sliding window neighborhood
Dagao Duan Meng Xie Qian Mo Zhongming Han Yueliang Wan
College of Computer and Information Engineering Beijing Technology and Business University Beijing, China
国际会议
太原
英文
354-357
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）