谷物纹理特征的识别

谷物纹理是谷物的主要特征，为分析识别谷物纹理特征，而建立了综合纹理识别模型。模型包括两部分：一部分是用灰度共生矩阵提取相关纹理特征，包括纹理方向、粗糙度、对比度、同异度，另一部分是用多分形模型提取纹理特征，这部分特征与纹理结构相关，该模型对3种谷物(小麦、燕麦、大麦)的平均识别率是95%。

Grain Classification With Combined Texture Model

In order to identify grains by their texture features, a combined texture model was developed to extract texture features. This combined texture model includes two parts. One is to extract texture features based on co-occurrence matrix, whish is related to texture directionality, coarseness, contrast, and homogeneity; the other is to extract texture features by a multifractal model, with these features relating to texture structures. Three types of grains (CWRS wheat, oat, barley) were selected for classification and the mean classifying accuracy is 95%.