Image Processing in Weld Seam Tracking with Laser Vision Based on Radon Transform and FCM Clustering Segmentation

摘要：

According to the image characteristics in weld seam tracking with laser vision, Radon transform is first used to find the location of the laser stripe; then, the transformed image is processed by using the way the information from laser stripe is reserved and the other information from noises is removed, after that inverse Radon transform is applied for image recovery. Finally, improved fast FCM clustering is used for image segmentation so that the groove area can be recognized. These methods can bring good effects with little time cost, and the anti-disturbance performance is well, therefore they are suitable for weld seam tracking with laser vision.

关键词： weld seam tracking laser vision Radon transform improved FCM image segmentation

作者: Xiwen Liu

作者单位: Department of Mechanical Engineering Xiangtan University Xiangtan, Hunan, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 1640-1643

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）