Design of Steel Ball Surface Quality Detection System Based on Machine Vision

摘要：

In this paper, in the environment of Labview and NI Vision Assistant, the defect image is processed and the defects features from the steel ball surface defect image are abstracted. And at last,according to the effective features,the defects of steel ball are classified, automatical detection of the ball defects on the surface is achieved. Compared with the previous detection methods, the experiments indicate that the system can achieve the defects feature more effectively, and the proposed method in the system is computationally efficient, has lower flaw missing rate and false alarm rate , and meets the need of on-fine flaw inspection.

关键词： Steel Ball Surface quality Detection Machine vision LabVIEW

作者: Chao Sun Jianjing Liu Delin Luo

作者单位: Department of Automation Xiamen University Xiamen 361005, China

会议类型: 国际会议

会议名称: The 10th International Conference on Intelligent Technologies(第十届智慧科技国际会议 InTech09)

会议地点: 桂林

会议语种:英文

页码: 411-414

在线出版日期: 2009-12-12（万方平台首次上网日期，不代表论文的发表时间）