关键词: 谱直方图, 纹理分割, 距离函数, 期望最大化算法, 形态学

Abstract: A texture image segmentation algorithm based on spectral histograms and Expectation Maximization（EM） is recommended.First of all，to acquire the texture features，using the algorithm of filter selection，then using spectral histogram’s method and idea，each subimage is presented on the spectral histograms representation.Spectral histograms have intrinsic generalization of image representations.For another，using ?字2 as the distance measure function to calculate the feature statistic of spectral histogram.To derive the initial segmentation result，feature statistic matrix is used as the feature vector to apply expectation maximization image segmentation to achieve effective segmentation.Finally，using the method of morphology to localization of region boundaries.Experimental results demonstrate that high segmentation accuracy can be achieved with the proposed methods.

Key words: spectral histograms, texture segmentation, distance function, Expectation Maximization（EM） algorithm, morphology