Research of image classification method based on texture feature extraction and system to achieve
基于纹理特征提取的图像分类方法研究及系统实现

This paper studied GLCM algorithm, combined sum and difference histograms methord to improved it. Implemented the improved texture feature extraction method through programming, and combined SVM methods with the radial basis function (RBF) core to classify images. It proves that the system can reduce the computing time of feature extraction and achieve good results in image classification through analyzing, training and testing.