Multi-resolution Clustering of Texture Images
نویسندگان
چکیده
This paper describes a new method for analysis/synthesis of textures using a non-parametric multi-resolution approach. In the analysis step the new technique clusters together structural features with the same visual appearance from an input texture using a standard pyramid-based decomposition. The synthesis is obtained through a sampling procedure constraining the distribution of the spatial characteristics at lower resolution. This is realized through a new data structure called frequency tree. Experimental results show the effectiveness of such approach: it is capable to reproduce efficiently the generative stochastic process of a wide class of real texture images. The proposed method achieves a greater computational efficiency than other approach known in the literature.
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تاریخ انتشار 2008