Special Issue Article
Energy Histogram for Image Retrieval using Relevance Feedback
|Subashini.M, Narayanan.R.C, Dr.K.Krishnamoorthy
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This paper presents the novel approach by combining effective techniques in Content-Based Image Retrieval technique. By considering CBIR system, effective retrieval is achieved by using relevance feedback mechanism. The issue in effective retrieval needs an effective extraction of low-level features, which encompasses on image such as color, texture and shape. These pave way for fast and easy indexing of query image with the database image. In current trend most of the images are compressed and stored in the form of JPEG using Discrete Cosine Transformation (DCT). The proposed method is being designed in such a way to produce most precise result by taking user feedback into account with different histogram quantization in a compressed domain.