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

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 - line flaw inspection.