Abstract: The author proposes a textured image segmentation algorithm which is based on multiresolution wavelet and Gaussian mixture models. At first a preceding process is taken in this algorithm. Then, the image is decomposed by wavelet pyramids. All of those lower resultant image and original image are integrated to a feature vector of a pixel. Those pixels are segmented by Gaussian mixture models. Experiment show the algorithm can give a good result.

Key words: image segmentation, textured image, gaussian mixture models, multiresolution wavelet, EM algorithms

摘要： 提出了一个基于多分辨率小波采样和高斯混合模型的纹理图像分割方法。该方法首先对图像进行必要的预处理，然后对图像进行小波“金字塔”分解。分解后的小波系数和图像共同组成了相应像素的特征向量，然后利用高斯混合模型进行分割。分割的实验结果表明，该算法具有较强的分割能力。

关键词: 图像分割, 纹理图像, 高斯混合模型, 多分辨率小波, EM算法