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
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摘要: 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。Abstract: This paper proposes a new cloud transformation method in order to improve the tranditional cloud transformation which cannot deal with multidimensional data. EM algorithm 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 menthod. The image segmentation experiments are used to compare the proposed method with traditional methods. The comparison experiments validate the proposed method.