Color-texture based feature modeling for content-based video retrieval Journal of Advanced Research in Dynamical and Control Systems, 2019
Color-texture based feature modeling for content based image retrieval Journal of Advanced Research in Dynamical and Control Systems, 2019
Multi resolution feature combined with ODBTC technique for robust CBIR system V.G. Ranjith, M.K. Jeyakumar, S. Palanikumar International Journal of Signal and Imaging Systems Engineering, 2018 Content based image retrieval (CBIR) is a system that retrieves a set of images that most resembles the query image. The technology is used in many applications. Currently used image content retrieval method is ordered-dither block truncation coding (ODBTC). This method is used to produce image content descriptors. In this system, it gives only an average accuracy of 70.5%. Our aim is to create a more robust and accurate system for CBIR. For this purpose in addition to colour cooccurrence feature (CCF) and bit pattern features (BPF), contourlet and wavelet features from the query image is extracted for image retrieval process. In our experiment the system is first tested with ODBTC and wavelet and then ODBTC and contourlet. The results obtained with ODBTC and contourlet is more accurate and produced accuracy 91.5%. The dataset used for our experiment is CorelDB.
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Block truncation coding for cbir systems using halftoning based techniques in compressed images: a survey,(2016) VG Ranjith IJCEA 10 (9), 15-25 , 0 Citations: 2
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