Straight line extraction via multi-scale Hough transform based on pre-storage weight matrix

被引：0

作者：

Xu, Sheng-Hua ^{[1
]}

Zhu, Qing ^{[2
]}

Liu, Ji-Ping ^{[1
]}

Han, Li-Tao ^{[3
]}

Zhao, Xue-Lian ^{[4
]}

Zhang, Li-Hua ^{[5
]}

机构：

[1] Research Center of Government Geographic Information System, Chinese Academy of Surveying and Mapping, Beijing 100039, China

[2] Wuhan University, Wuhan 430079, China

[3] Shandong University of Science and Technology, Qingdao 266510, China

[4] China University of Geosciences, Wuhan 430079, China

[5] Dalian Naval Academy, Dalian 116018, China

来源：

Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | 2008年 / 37卷 / 01期

关键词：

Algorithms - Computer simulation - Computer vision - Hough transforms;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Aiming at the critical time-consuming and accuracy issues of straight line extraction from large-size remote sensed imagery, after briefly reviewing the existing straight line extraction methods, a multi-scale Hough transform method based on the pre-storage weight matrix is proposed, which saves a lot of storage space, takes care of discretization errors, and avoids the abruption and conglutination of characters that are the drawbacks of the existing straight line extraction algorithms. The improvement of classical Hough transform method in detail is introduced. To optimize speed and precision, the best choice of accumulator based on image size is suggested too. The experimental results show that this algorithm is more efficient in computation and robust to noise, and is rich in feature content and accurate, especially for large-size images.

引用

页码：83 / 88