基于高斯混合模型的图像检索算法研究

Research on Image Retrieval Algorithm Based on Gaussian Mixture Models Clustering

通过研究聚类算法在图像处理上的应用,提出了一种基于高斯混合模型聚类的图像检索方法。该检索方法首先提取每幅图像的特征,并以特征值为数据集建立高斯混合模型,得到所有图像的高斯混合模型。再以所有图像的混合模型参数集作为数据集,用基于高斯混合模型的聚类算法进行聚类。最后输出检索例图所在的类,即得到检索结果。

An image retrieval method based on Gaussian mixture models clustering is put forward through the research on clustering algorithms applied in image processing.The retrieval method extracts each image＇s features firstly,and establish Gaussian mixture models in data set with the eigenvalues.Thereby get Gaussian mixture models of all images.Then Clustering the data sets with Gaussian mixture models set of all images using the algorithm based on Gaussian mixture models.Output the class containing Sample image,namely get the retrieval results.