Matching pursuit: contents featuring for image indexing

We proposed an image featuring technique for image indexing. To achieve image indexing, the matching pursuit algorithm is employed. Image domain is classified into several groups, which are determined by atoms in the dictionary of matching pursuit algorithm. Since the image is decomposed into groups of atoms the atoms can describe the contents of image. In this paper, a fast matching-pursuit of image in Radon space (RMP) is proposed. Further a content featuring algorithm by RMP with the dictionary consisting of Gabor functions is proposed. Texture and color featuring are shown as examples of content featuring. The computer simulations and their corresponding experimental results show that the proposed method can achieve contents featuring as well as image compression.