摘要
在分析标准霍夫变换、两点表决霍夫变换以及多级霍夫变换直线检测的基础上,针对算法的不足,结合他们的优点,设计并实现了基于分级的快速霍夫变换直线检测方法,对算法进行了详细描述和分析,并通过实验证明了算法的有效性,实验表明:所设计的直线检测运算速度快,检测精度高,鲁棒性强,有一定的应用价值。
on the basis of analyzing Hough Transform,two clots voting Hough Transform, and the multilevel Hough Transform for straight line detection, aiming at weakness of these algorithms, combining with their merits, a fast Hough Transform algorithm for line detection based on classification is designed and implemented ,and the algorithm is described and the merits of algorithm are analyzed, and the validity of algorithm was validated by experiment. It has indicated the algorithm for straight line detection has advantages of high computation speed, high detection precision and more robustness, and has value in practice.
出处
《微计算机信息》
北大核心
2007年第31期206-208,共3页
Control & Automation
关键词
模式识别
计算机视觉
霍夫变换
直线检测
pattern recognition,computer version,Hough Transform, Straight line detection
