基于机器视觉的珍珠光洁度在线自动分级

Online automated grading of pearl surface perfection based on computer vision

为代替耗时的传统人工分选,设计了一种基于机器视觉的珍珠光洁度在线自动分级系统。首先,该系统在珍珠自由落体时对珍珠进行全方位成像;然后对图像进行实时分析,计算珍珠的有效特征;最后,根据多图的有效特征确定珍珠的光洁度等级。实践证明,该系统不但提高了珍珠光洁度的分选效率,而且节省了企业的生产成本。

An online automated grading system of pearl perfection based on computer vision was introduced to replace time-consuming human grading.Firstly,the whole pearl surface was captured as images when the pearl freely fell.The surface images were then analyzed in real-time to obtain valid features,and then the features were applied to determine the final pearl perfection grade.The performance shows the new system greatly improves the efficiency of pearl surface perfection grading and cuts the cost down as well.