Detection of Surface Defect on Highly Reflective Curved Surface Using Reflective Fringe Pattern
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摘要: 针对高反射曲面表面缺陷的检测,提出了一种基于计算机视觉的反射条纹检测方法。该方法根据该表面的高反射性和曲面特性,对曲面反射的照明光源内壁附着条纹的完整性进行检测,从而判断曲面表面是否存在缺陷。反射条纹检测系统由计算机、相机和照明光源组成。实验中,照明光源采用内壁附着同心圆条纹的穹顶漫射光源,相机通过照明光源的观测孔对曲面进行拍摄,将拍摄的黑白条纹图像送至计算机进行判别。实验结果表明,基于本方法的检测装置对某钢球生产厂家直径为0.8 mm的钢球缺陷的有效判别率为96.7%,其中G10等级及以下的钢球均被检出,满足其G10等级钢球的检测需求。本方法能够对高反射曲面表面的常见缺陷进行有效检测和判别。Abstract: Focus on damage detection of highly reflective curved surface, a new method was put forward based on integrity analysis of reflected pattern. In this method, the dome light source was decorated with specific pattern on its inner wall. The pattern is reflected by the mirror-like surface of the steel balls inside. In this way, imperfection on the reflected pattern indicates defects exist on the steel ball. The inspection system is composed of three parts:computer, camera and illuminator. In our experiment, the dome diffused light source with inner wall decorated with circular pattern was employed as the illuminator. Images of reflected pattern are captured by cameras through the observation hole on the illuminator and sent to computer for further analysis. Experimental results show that, the inspection accuracy is of 96.7% to the steel balls made by a steel ball factory with 0.8mm diameter, which meets the steel ball inspection level of G10. The new method is effective for detecting and identifying the common defects on highly reflective curved surface.
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