Cbir Using Modified Rank Level Fusion
نویسندگان
چکیده
Content Based Image Retrieval (CBIR) is an emerging research area where researchers are concentrating these days. The existing systems based on conventional techniques that process features that are extracted from the images are further stored to have a decision identified via a classifier, resulting in the class of the image that has been given as an input are of in vain as the database size increases. Hence, in this paper we propose to use modified rank level fusion algorithm which uses modified borda count method to test the input test case. Results show that the proposed technique outperforms the existing conventional techniques.
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