高斯混合模型云变换算法及其在图像分割中的应用

Cloud Transformation Method Based on Gaussian Mixed Model and Its Application to Image Segmentation

针对启发式云变换只能对一维特征进行变换的缺陷,提出一种基于高斯混合模型的改进云变换方法。通过EM算法和高斯分布的拟合误差求解云模型的数字特征,抽取图像底层概念,从而实现图像分割。通过图像分割实验验证了该算法的有效性。

This paper proposes a new cloud transformation method in order to improve the tranditional cloud transformation which cannot deal with multidimensional data. EM algo- rithm and fitting error of Gaussian mixed model are used to extract cloud concepts which are expressed by the digital characteristics. Image segmentation is realized by the improved men- thod. The image segmentation experiments are used to compare the proposed method with traditional methods. The comparison experiments validate the proposed method.