基于机器视觉的表面缺陷检测系统设计（毕业论文）.doc

长春理工大学本科毕业设计 PAGE \* MERGEFORMATII 编号 本科生毕业设计 基于机器视觉的表面缺陷检测系统设计 Surface defect detection system design based on machine vision 学 生 姓 名 专 业 电子信息工程 学 号 指 导 教 师 学 院 电子信息工程学院 二〇一三年六月 中文摘要 为了不断提高产品质量和生产效率，金属工件表面缺陷在线自动检测技术在生产过程中显得日益重要。针对金属工件表面的多种缺陷，本文设计了一套基于机器视觉能够实现对金属工件表面缺陷进行实时在线、无损伤的自动检测系统。该系统采用面阵CCD和多通道图像采集卡作为图像采集部分，提高了检测系统的速度并降低了对CCD的性能要求，使系统在现有的条件下比较容易实现实时在线检测；采用自动选取图像分割阈值，根据实际应用的阈值把工件信息从图像中提取出来并扫描工件图像中的信息，实现了系统的自动测量；根据扫描得到的工件信息去除掉工件边缘的光圈，利用自动选取的阈值对金属工件表面的图像进行二值化分割，从而实现各种缺陷的自动提取及识别。 关键词：机器视觉 表面缺陷 CCD 图像处理 缺陷检测 Abstract In order to continually promote the quality of product and efficiency of production, the on-line automatic inspection technology of surface defect of metal workpiece has become more and more important in the process of production. This paper designs an automatic system based on machine vision, which can inspect surface defect of metal workpiece timely without any damage on it. Firstly, using CCD and multi-channel image acquisition card to acquire images, the system has accelerated the inspection speed and reduced the requirements of CCD on the performance to do the timely on-line inspection more easily under the current condition; secondly, according to the practical application of threshold, the system has used the segmentation threshold of selecting an image automatically to select the workpiece information from images and scan that information to realize the automatic measurement of the system; finally, the system has removed the aperture on the edge of workpiece in accordance with the workpiece information of scan and conducted the binarization segmentation on the image of the metal workpiece surface by using the automatic selection threshold to automatically select and identify varied defects. Keywords: machine vision; surface defect; CCD; image processing; defect inspecting 目 录 TOC \o 1-3 \h \z \u HYPERLINK \l _Toc358825371 中文摘要 PAGEREF _Toc358825371 \h I HYPERLINK \l _Toc358825372 Abstract PAGEREF _Toc35882