Edge detection for aluminum alloy MIG welding pool based on pulse coupled neural network

摘要：

Aimed at the problem of detection of pool edge for aluminum alloy MIG welding, a new method is adopted. The method is used to detect the pool edge of aluminum alloy MIG welding by applying the pulse coupled neural networks algorithm. The pulse coupled neural networks algorithm is introduced in this paper. The detection of pool edge for MIG welding pool is carried out with this algorithm by MATLAB. Then, the comparison between the result of PCNN algorithm and Canny detector is completed. The result indicates that the pulse coupled neural networks algorithm can be used to detect the process image of welding pool. And the image of pool edge by using the pulse coupled neural networks algorithm is clear and consistent. Besides, this new method can effectively overcome the influence of noise from welding pool image. The time of single frame processing is 54 ms.

关键词： aluminum alloy MIG welding pulse coupled neural networks Edge detection of welding pool

作者: Wu Mingliang Zhang Gang Huang Jiankang Shi Yu Shao Ling

作者单位: School Of Mechanical & Electronical Engineering Lanzhou University of Technology Lanzhou, China State Key Laboratory of Gansu Advanced Non-ferrous Metal Materials Lanzhou University of Technology

会议类型: 国际会议

会议名称: 2011 Seventh International Conference on Natural Computation(第七届自然计算国际会议 ICNC 2011)

会议地点: 上海

会议语种:英文

页码: 710-713

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）