基于变异系数法的工业产品表面缺陷快速检测应用研究

摘要

To improve accuracy and speed of quality control detection on surface defects of industrial products, a novel fast detection approach was proposed based on machine visualization. With introduction of variation coefficient, a difference image was obtained by image differencing analysis of the test image and the model image. Threshold was determined by variation coefficient of the difference image and then defects were located by image dicing. Experimental results on wallpaper surface defect detection show that the proposed method improved accuracy and robustness of image detection and reduced false detection rate greatly.%为了提高工业产品质量控制中表面缺陷检测的准确性和快速性,提出了一种基于机器视觉的工业产品表面缺陷快速检测方法.方法引用变异系数的概念,通过待检测图像和模板图像进行差运算得到差影图像,并通过计算其变异系数以确定阈值,利用分割定位缺陷,从而实现缺陷的快速检测.壁纸表面缺陷检测实验结果表明,本方法提高了图像检测系统的准确性和鲁棒性,误检率大大降低.