Real-time Classified Hough Transform Line Detection Based on FPGA

被引:0
|
作者
Wang, Xinming [1 ]
Tan, Haishu [2 ]
Zhou, Fuqiang [1 ]
Zhao, Yao [1 ]
机构
[1] Beihang Univ, Sch Instrumentat Sci & Optoelect Engn, Beijing 100191, Peoples R China
[2] Foshan Univ, Dept Elect Informat Engn, Foshan 528000, Peoples R China
来源
PROCEEDINGS OF THE 2015 5TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCES AND AUTOMATION ENGINEERING | 2016年 / 42卷
关键词
Line Detection; Gradient; Hough Transform; FPGA; IMPLEMENTATION;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Hough Transform (HT) is a popular tool for line detection due to its robustness to noise and missing data. This paper proposes a classified Hough Transform (CHT) to achieve real-time line detection on one kind of hardware circuit called FPGA. It makes full use of the gradient information calculated in the edge detection stage compared with other Hough Transforms. Theresults show that the proposed hardware algorithm is feasible. Asthe classified Hough Transform is divided into two independent parts according to gradient, every edge pixel is substituted into a single calculation formula, it accelerates computation with the same accuracy.
引用
收藏
页码:548 / 554
页数:7
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