基于纹理特征的磁片表面刀纹缺陷检测

表面缺陷检测在工业生产中对产品质量可以起到有效的监督控制作用,而目前对磁性材料表面刀纹缺陷检测的方法各自存在自身的局限性,如成本过高、检测速度太慢而不能满足工业生产中实时检测的需求等。为了能够达到实时稳定的检测磁片表面刀纹缺陷的目的,本文借助于计算机工业视觉系统,基于纹理特征,通过图像预处理,采用增强缺陷部分并抑制背景部分的方法,使得各种缺陷具有了统一性,从而能设计适合的掩模来提取出缺陷部分,实现了对磁片表面刀纹缺陷的检测。实验结果表明,采用本文提出的方法可以实时完成对磁片表面刀纹缺陷的检测并且对于多种缺陷类型都适用。

Detection of Mark Defects on the Disk Surface Based on the Texture Feature

Surface inspection plays an important role in industrial production of product quality control,but the existing methods for the detection of magnetic material surface mark defects have their own limitations.The existing methods are too expensive and too slow to meet the needs of real-time detection in industrial production.In order to achieve the real-time and robust detection of surface mark defects,we propose a method in this paper based on the texture feature,which makes the various defects have unity by enhancing the defective parts and inhibiting the background parts after image pre-processing.Then we detect surface mark defects by designing a suitable mask.The method proposed in this paper achieves the detection of surface mark defects.The experimental results show that it can be done in a real-time way and is useful for a variety of defects.