基于实Gabor滤波器与粗糙熵的加权纹理分割法

Weighted Texture Segmentation Algorithm Based on Real Gabor Filters And Rough Set Entropy

结合人眼视觉特性,设计了一组多尺度、多方向Gabor滤波器,引进粗糙集中的互信息熵,以评价经不同滤波器提取的特征对聚类的影响,去除影响聚类的不重要、冗余因素,突出了区分能力强的特征,使纹理图象的分割质量和算法效率均得到了提高。

This paper designed a set of multi-scale,multi-directional real Gabor filters Incorporating into the human visual characteristics, the concept of mutual information entropy in rough set was introduced to evaluate the effect of the features extracted from different filters on clustering, get rid of the redundancy features and gave prominence to the features which had good distinguishing abilities. Experimental results indicated that the proposed algorithm outperforms conventional approaches in terms of both objective measurements and visual evaluation.