基于机器视觉的电镀件表面缺陷检测系统

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英文篇名：Surface Defects Detection System for Electroplated Parts Based on Computer Vision 作者：卢颖颖 ; 孙育 英文作者：LU Yingying;SUN Yu;Nanyang Radio and TV University;Zhengzhou Institute of Finance and Economics; 关键词：检测系统 ; 电镀件表面缺陷 ; 机器视觉 ; 图像预处理 ; 特征提取 英文关键词：detection system;;surface defects of electroplated parts;;computer vision;;image pre-processing;;feature extraction 中文刊名：DDHB 英文刊名：Electroplating & Pollution Control 机构：南阳广播电视大学;郑州财经学院; 出版日期：2019-03-30 出版单位：电镀与环保 年：2019 期：v.39;No.226 基金：河南省科技攻关重点计划项目(132102210215) 语种：中文; 页：DDHB201902023 页数：3 CN：02 ISSN：31-1507/X 分类号：65-67

摘要

将机器视觉引入电镀件表面缺陷检测中,设计了一种基于机器视觉的电镀件表面缺陷检测系统。该系统由工控机、图像采集卡、工业相机、伺服电机、照明装置和运动控制卡组成。获取电镀件表面光学图像并经预处理后,利用算法提取出图像中缺陷区域边界特征,通过计算用于标记缺陷区域边界特征的白色像素点个数,并与设定的阈值做比较,实现电镀件表面缺陷检测。该系统满足电镀件表面缺陷在线检测的要求。
        Computer vision was applied to detection of the surface defects of electroplated parts,and a surface defects detection system for electroplated parts based on computer vision was designed.This system was composed of industrial personal computer,image capture card,industrial camera,servo motor,lighting device and motion control card.The surface optical image of electroplated parts was obtained,and after the pre-processing,the boundary characteristics of defect area in the image was extracted and the number of white pixels for labeling the boundary characteristics of defect area was calculated.Comparing the calculated value with the predetermined threshold,then to realize the detection of the surface defects of electroplated parts.This system can meet the requirements of online detection of surface defects of electroplated parts.

引文

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