A combination of GLCM (Gray Level Co-occurrence Matrix) and Fractal features has been used: With the result of experiment we conclude that the combination feature is better than single feature.
GLCM describes texture features from pixel correlation of gray and the fractal dimension reflects the structure of self-similar.
灰度共生矩阵法能够从像元的灰度相关性上对纹理特征进行描述,而分形维数反映了纹理的结构自相似特征。
Accordingly, we propose an improved feature extraction scheme, adopting the tone of filtered image combined with the texture features based on the GLCM of unfiltered image to form the feature vector.