Firstly , it introduces the basic concepts and principles of texture analysis technique . secondly , it discusses the algorithm framework of texture segmentation based on texture spectrum and improves the corresponding algorithms . thirdly , it studies the concepts and principles of synergetic neural network ( snn ) and explores several its several models and algorithms 论文首先介绍了纹理分析法的基本概念及其理论，接着阐述了基于纹理谱的纹理分割算法框架，对一些算法的改进进行了探讨和研究，然后介绍了协同学和协同神经网络的基本概念及其理论，阐述了几种协同学模式识别模型及算法。
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 function , 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 摘要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。
Based on fuzzy clustering algorithm , we studied the objective function of the traditional fuzzy c - means algorithm and proposed a modified objective function for fcm ; we discussed clustering validity problem , and a texture segmentation method based on adaptive fcm has been constructed by the guidance of fuzzy clustering validity 在介绍聚类算法的基础上，研究了模糊c -均值聚类算法目标函数的改进问题，提出了基于修正目标函数的fcm算法；讨论了聚类有效性问题，在模糊聚类有效性函数指导下构造了一种自适应模糊c -均值聚类算法的纹理分割方法。
This paper takes the multi - resolution texture image segmentation modeling and its feature attrachtion methods as research objects . trying a texture image segemantaion methods based with wavelet approach and fcm cluster methods . first , this paper make in - depth reasearch on using wavelet transfer to effectily compute the energy of the texture image , secondly doing the research of application of the fcm cluster algorithms , at last design a segmentation framework based them 首先给出了一种基于小波变换进行纹理图像能量特征计算与多分辨率特征提取的方法，进而在此基础上，研究了模糊聚类算法在纹理特征提取上的应用，并给出了相应的纹理分割框架对纹理图像进行分割。
