Image Texture Feature Extraction Based on the Statistical Modeling in the Curvelet Domain
Jin Hou · Journal of Shenyang Ligong University · 2012
Since the image retrieval precision was affected by the image texture feature extraction of content-based image retrieval system,this paper proposes an improved approach which combines the Curvelet transform with the Gaussian Mixture Model to extract image texture feature.Combined with the algorithm of K-means and Expectation Maximization,it provides a way of analyzing the image in multiscale in the Curvelet Domain to construct the image texture feature space.The simulation results demonstrate that the improved method not only has higher accuracy than the traditional methods,but also can promote the retrieval precision.