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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 identification of aluminum alloy wheels is an important part of the hub intelligent production management platform. Using Microsoft Visual Studio platform and MFC to build a system interface, based on a powerful open-source library OpenCV powerful open-source library for on-line shooting hub, for large blanks with castings blanks polygons shape reduction and feature extraction, and finally as a picture Generate the serial number of the wheel image comparison and classification, to achieve the effect of real-time classification. The system effectively improves hub productivity and intelligently classifies hubs and sends data.