针对大部分陶瓷企业仍使用人工进行陶瓷质量检测的现状,提出一种基于计算机视觉技术的日用陶瓷在线检测系统研究方案。该方案分为硬件和软件两大部分,其中硬件部分主要完成陶瓷产品的传送、数据采集以及智能控制功能。软件部分主要完成陶瓷圆度缺陷的在线检测功能。本论文通过陶瓷外边界的提取,圆心的初定位以及圆心稳定度的分析等过程能够快速的判定陶瓷边界的圆度。实验结果表明本文算法能够快速、准确的提取陶瓷外边界并给出相应的圆度判定。
Based on the situation that most daily-use ceramic enterprises still adopt manual ceramic quality testing method, this paper proposes an online detection system based on computer vision technology, which mainly includes two modules, i.e. hardware and software modules. The hardware module mainly carries out ceramic products transportation, data acquisition and intelligent control. The software one mainly achieves ceramic defects online detection. By using ceramic outer- boundary extraction, circle center calculation and its stability analysis, the roundness of ceramic boundary can be rapidly determined. The experimental results show that the proposed algorithm can accurately and quickly extract ceramic outer-boundary and judge the corresponding roundness.