PROBABILISTIC CONVERGENT HOUGH TRANSFORM

摘要：

To reduce the computational complexity,a novel method of Standard Hough Transform (SHT),named Probabilistic Convergent Hough Transform (PCHT),is proposed in this paper.PCHT avoids unnecessary cost of SHT in computation by intermittently detecting several points of a line through fast convergence and in memory by using a one- dimensional accumulator.Considering the inevitable error initiated by PCHT,Sensitivity of detection method is introduced to limit the error rate of detecting a fake line within the tolerable range.Experiment is done in various circumstances.Results and comparison between several line detections and PCHT are shown next,and further discussion is given in the final.

关键词： Hough Transform convergent line detection

作者: Lei Zhu Zhaoqi Chen

作者单位: The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai,200092,China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 1661-1666

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）