CAJ | 학술논문

将计算机视觉检测技术应用于汽车车身表面涂膜缺陷的检测,根据汽车涂膜及涂膜缺陷的特征,提出了侧向照明方式,获取了特征明显的涂膜缺陷图像.针对汽车涂膜缺陷边缘模糊,传统的微分检测算子无法有效检测的情况,提出了基于图像中心化和图像去背景操作相结合的检测分割算法,算法原理简单,性能稳定,能够有效检测出绝大多数涂膜缺陷的模糊边缘.
장계산궤시각검측기술응용우기차차신표면도막결함적검측,근거기차도막급도막결함적특정,제출료측향조명방식,획취료특정명현적도막결함도상.침대기차도막결함변연모호,전통적미분검측산자무법유효검측적정황,제출료기우도상중심화화도상거배경조작상결합적검측분할산법,산법원리간단,성능은정,능구유효검측출절대다수도막결함적모호변연.
In this paper,computer vision technology was applied to detect the car body painting defects. Based on the characteristics of car painting coat and its defects,side direction illumination mode was developed in order to obtain the distinguishable painting defect images. Meanwhile considering that conventional detection operators are not effective to detect fuzzy edges of car painting defections,a defect segmentation algorithm was put forward based on the image centerization and morphological operation. The algorithm performs stably with simple principle,and can effectively detect most of painting defection fuzzy edges.