的研究彩色数字图像的计算机分类识别方法并应用于古瓷片的自动分类。方法提出

了一种色彩纹理特征的提取模型，采用该模型，利用IGabor滤波器提取数字图像的色彩纹理特征，

并构造支持向量分类机(SVM)分类器组。结果实现了高准确率多类别图像的自动分类识别，并

成功应用于古瓷片的自动分类。结论色彩纹理特征提取方法将颜色与纹理进行融合，增强了数

字图像之间的特征区分能力。-Study color digital image classification and recognition method and a computer chip used in the automatic classification of porcelain. Method presents a color texture feature extraction model, using the model, the use of IGabor filter extracts the color digital image texture features, and construct support vector classification machine (SVM) classifier group. Results to achieve a high accuracy automatic multi-class image classification and recognition, and successfully applied to automatic classification of porcelain pieces. Conclusion color texture feature extraction method for integration of color and texture to enhance the digital image characteristics between the ability to distinguish between.