基于图像处理的镜片疵病类型识别研究  

Research on Lens-Defects Type Recognition Based on Image Processing

作　　者：姚红兵[1] 郑学良[1] 马桂殿[1] 曾祥波[1] 李亚茹[1] 高原[1] 于文龙[1] 顾寄南[1] 

机构地区：[1]江苏大学机械工程学院,江苏镇江212013

出　　处：《激光与光电子学进展》2013年第11期100-107,共8页Laser & Optoelectronics Progress

摘　　要：针对目前镜片生产过程中疵病人工检测的不足,根据镜片特点提出了一种镜片疵病类型识别的方法,并结合图像采集技术实现了镜片的自动化检测。系统获取图像后进行图像预处理,通过计算各疵病的面积、周长、直径等参数,根据不同疵病的外形特征,结合最小外接圆参数和划定的不同阈值进行运算区分,确定疵病类别。然后利用镜片各区的物理尺寸和每毫米像素数的值以及质心位置获得镜片各区的模板,并通过相并运算得出各区的不同类型疵病信息并以此确定镜片级别。结果表明:该方法可以准确识别出点、羽毛、划痕、气泡等镜片主要的疵病,精度达到0.03mm,可使企业实现镜片的自动化检测、提高生产效率成为现实。In order to correct the deficiency of manual detection in the lens production process, a new method about lens-defects type recognition based on lens characteristics is put forward to make the automatic detection possible with the combination of image acquisition. After preprocessing the acquired image, the system will get the defective parameters such as area, perimeter, diameter, and so on. The types of defects are determined according to the shape characteristic, the minimum circumscribed circle and the thresholds of the different defects. The lens templates of different regions are obtained by the size of each region, the value of pixel number per millimeter and the position of the centroid. The results indicate that this method can be used to detect the main lens-defects such as points, feathers, scratches and bubbles with an accuracy of 0.03 mm, with which the detection efficiency will be greatly improved.

关 键 词：图像处理 图像采集 阈值 镜片 疵病检测 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]