计算机视觉技术分析研究饰面人造板表面耐磨图像  

Computer Vision Technology Analysis and Research on Wear-resistant Images of Furniture Panel Surface

作　　者：洪城辉 范必鑫 曾钦志[2] Hong Chenghui;Fan Bixin;Zeng Qinzhi(Fujian Institute of Product Quality Inspection,Fuzhou 350025,China;College of Material Engineering,Fujian Agriculture and Forestry University,Fuzhou 350028,China)

机构地区：[1]福建省产品质量检验研究院,福州350025 [2]福建农林大学材料工程学院,福州350028

出　　处：《中国人造板》2022年第6期34-38,共5页China Wood-Based Panels

摘　　要：鉴于人眼在估算家具人造板表面耐磨试件花纹保留情况和花纹保留率存在的局限性,引入计算机视觉技术。应用基于Python语言开发,调用OpenCV、tkinter、matplotlib等库文件的算法软件,搭配由海康威视工业相机和固定光源组建的图像拍摄系统,进行花纹保留率分析处理,有效地解决了人眼估值的偏差。软件兼容性好,对深色和浅色花纹均有较好的识别度和准确度,解决了表面耐磨仲裁检验中可能存在的争议。Computer vision(CV)technology was introduced to assist the evaluation of the pattern retention and retention rate of wearresistant specimens of furniture panels,to overcome the limitations of human vision.Based on Python(OpenCV,Tkinter,matplotlib,and other libraries were implemented),combined with Hikvision industrial camera and fixed light source,the image shooting system were constructed,and the pattern retention rate analysis were processed accordingly.This CV empowered system effectively solved the deviation of human vision estimation,exhibited good software compatibility,while performed well in both dark and light color patterns,and effectively solved the possible disputes in surface abrasion inspection.

关 键 词：表面耐磨 花纹保留率 计算机视觉 识别度 准确度 

分 类 号：TP21[自动化与计算机技术—检测技术与自动化装置]