一种采用直方图小波变换的纹理分割算法

An Approach to Texture Segmentation Adopted Wavelet Transformation of Histogram

提出了一种采用直方图小波变换获得初始聚类原型的图像纹理分割模糊算法;多纹理图像采用自相关函数作为纹理测度,再对图像自相关函数直方图作小波多分辨分析得到初始聚类原型,利用模糊C-均值聚类算法进行纹理分割;对合成纹理图像的实验结果表明了该算法的有效性。

This paper provides a method on texture segmentation adopted wavelet transformation of histogram for initial clustering prototype; The ambiguity function of image is used as texture measure , then clustering prototype is constructed based on the wavelet - multi - resolution of histogram of ambiguity functions Therefore we use the C - means clustering to segment the textured images; synthesized textured images were used for testing, and the experimental results show that our method can effectively segment the images.