An improved HT Algorithm based clustering for Multi-objective Detection

摘要：

This paper describes a new Hough transform (HT) algorithm for multi-objective detection. The core principle of HT-voting principle, which needs to find the maximal voting rate, makes HT impossible to detect many targets from single image synchronously. An improved HT algorithm based on clustering is presented. When the number of targets in the image is known, all of targets can be detected once by this algorithm. The simulation results of iris location with proposed approach reveal that this approach can detect the needed targets in the image once and has great detection effect.

关键词： Hough transform multi-objective detection c-means clustering

作者: Fei Rong Cui Duwu Hu Bo

作者单位: Department of Computer Science and Engineering, Xian University of Technology, Xian, China Department of Field Bus and Automation, Thermal Power Research Institute, Xian, China

会议类型: 国际会议

会议名称: 2009 International Workshop on Information Security and Application(2009 信息安全与应用国际研讨会)

会议地点: 青岛

会议语种:英文

页码: 413-416

在线出版日期: 2009-11-21（万方平台首次上网日期，不代表论文的发表时间）