提出了一种利用图像处理技术来对杂粮成分进行智能识别的方法。该方法一方面充分利用不同种类粮食的颜色、大小等特征的差异对杂粮各成分实现了定性识别;另一方面还利用面积法对杂粮各成分的含量进行了定量计算。实验结果表明:该方法的计算结果与实测结果较为吻合,平均误差小于7%。

An intelligent method to recognize mixed grain composition using image processing technology is proposed. First, this method makes full use of the grain features (color, size etc) to recognize the composition of the mixed grains qualitatively. Then, the content of each composition is calculated by the area method quantitatively. The experimental results show that the recognition results accord with the measured results well and the average error is less than 7%.