COLOR CORRELOGRAM AND ENERGY LEVELS FOR IMAGE RETRIEVAL
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| Title | COLOR CORRELOGRAM AND ENERGY LEVELS FOR IMAGE RETRIEVAL |
| Authors | |
| Abstract | Content Based Image Retrieval has become the hot topic in few years and the techniques have been achieved great development. In this paper, the basic components of CBIR are introduced. The paper proposes an algorithm based on maximum frequency of local histogram based color correlogram. For Image Retrieval based on maximum frequency, the image bin separation technique is followed by extracting maxima of frequencies and plotting a correlogram as feature replacing maxima of frequencies by standard deviation and energy levels. Results show average retrieval efficiencies for each group. Apart from this, results are also computed by performing DCT for each block and then calculating energy levels which give the highest retrieval efficiency for each group. |
| Publisher | Advances in Computational Mathematics and its Applications |
| Date | 2012-05-27 |
| Source | 2167-6356 |
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