Efficient Image Retrieval Using Different Content Based Image Retrieval Methods: A Review

In this paper, we reviewed different methods used in Content-based image retrieval, to resolve the problem of efficient and similar digital image retrieval from large databases with high precision. Uses of different features like texture, color, shape have been focused in different ways to implement better and faster retrieval of data through different CBIR methods. Methods like Statistical Fractal-scaled Product Metric (SFPM), Fractalscaled Product Metric (FPM), local tetra patterns (LTrPs) have been focused to maximize the accuracy of CBIR systems and to enhance similarity queries.