基于形状特征的大米虫蚀粒检测方法

虫蚀严重影响大米的品质。目前一般使用目测方法检测虫蚀粒,人为因素太多。为此,给出一种基于形状特征的检测方法。首先,对虫蚀米粒图像按Freeman链码方向提取边缘点坐标;然后,求这些相邻点坐标的向量夹角,对得到的夹角数据进行分析,分别求出其均值、方差、三阶矩和熵值等特征;最后,利用这些特征值,运用Fisher分类器识别出虫蚀粒。实验表明,大米虫蚀粒的正确识别率为95.65%。

Etection Method Based on Shape Features Study on Rice Injured Kernel

moth-eaten factor is the one seriously affects the quality of rice.Currently,it generally uses vision to detect moth-eaten rice,but human factors affect the detection results.This paper presents a shape-based feature detection method.extract the edge point coordinates by the direction of freeman chain code from the moth-eaten rice image,and then calculate the angle of two adjacent points,analysis the data obtained,and then calculate their mean,variance,third-order moments,entropy and other features,finally,using fisher classifier to classify the moth-eaten rice.Experiments show the rate of the moth-eaten rice is 95.65%.