铝合金轮毂图像识别分类技术研究  

The Research on Recognition and Classification Technology of Aluminum Alloy Wheel Hub

作　　者：朱焜[1] 董选普[1] 王铁林 凌宏江[1] 吕中华[1] 杨晓萍[1] 

机构地区：[1]华中科技大学材料成形与模具技术国家重点实验室 [2]湖北星星轮毂有限公司

出　　处：《特种铸造及有色合金》2017年第6期619-621,共3页Special Casting & Nonferrous Alloys

摘　　要：铝合金轮毂的识别是轮毂智能生产管理平台的重要一个环节。利用Microsoft Visual Studio平台和MFC搭建系统界面,基于强大的机器视觉开源库OpenCV实现在线拍摄轮毂,针对带有较大毛刺的铸件毛坯图像进行幅窗多边形形状化简并进行特征提取,最后利用为图片生成序列号的形式进行轮毂图片比对并加以分类,达到了实时分类的效果。该系统有效地提高了轮毂生产效率,并实现智能化轮毂分类和数据发送。The recognition of aluminum alloy wheel hub is an important part of the intelligent production management platform. Based on the powerful machine vision open source library of the OpenCV, the Microsoft Visual Studio platform and MFC was used to build the system interface which provided the re- al-time photographs of wheel hubs. The shapes of the rough castings with a larger burrs were polygonal- ly simplified and their features were extracted. Then the order number of the images was generated to match and classify the wheel hub images to finally conduct the real-time classification. The system can improve effectively the production efficiency, and realize the intelligent hub classification and data transmission.

关 键 词：铝合金轮毂 OPENCV 识别分类 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] U463.343[自动化与计算机技术—计算机科学与技术]