摘要
系统采用分光照明方式,设计均匀散射光源,通过图像增强预处理,灰度分析,图像二值化,特征提取与图像识别, 自动分选出表面有缺陷的工件。硬软件包括:光学系统;接收系统;控制电路和Visual C++、汇编语言程序等。系统有效解决了强反射光、复杂表面和随机缺陷带来的检测困难,检测精度可达97.3%。
With beam-splitting illumination scheme and uniform scattering light source, the system automatically sorts the workpiece with defects on its surface through image intensity pre-processing, gray scale analysis, image binarization, characteristics extracting and image recognition. The hardware and software consist of optical system, receiving system, control circuit and Visual C++ and assembler language program, etc. The system effectively solves the inspecting difficulties introduced by strongly reflective light, complex surface and random defects, and its inspection accuracy can be as high as 97.3%.
出处
《光电工程》
CAS
CSCD
北大核心
2003年第2期32-35,共4页
Opto-Electronic Engineering
关键词
CCD检测
表面缺陷
计算机图像处理
CCD detection
Surface defects
Computerised image processing
