关键词: 支持向量机 灰度共生矩阵 特征提取 纹理分类

Abstract:

Support vector machine （SVM） has excellent performance in classification. And the Gray Level Co-occurrence Matrix （GLCM） is a promising method for texture analysis. So an algorithm of texture classification by SVM is proposed, which uses GLCM to extract features. Compared with the method using images＇ gray information directly for SVM classification,the method proposed in this paper can classify the texture features more exactly.

Key words: support vector machine,gray level co-occurrence matrix, feature extraction, texture classification