Assessment on various Approaches for Content Based Image Retrieval

Content Based Image retrieval(CBIR) has a important place in research field. This paper deals with the realization of different approaches used in image retrieval based on content. In CBIR, a query image is searched from larger database by selecting features from image and then exact match is retrieved using efficient algorithms. The various CBIR approaches are reviewed such as relevance feedback, SVM, graphs, wavelet transform, Gabor filter, Semantic templates, GMM, Fuzzy logic, Object ontology, Machine intelligence and Histogram. In this paper, the various graph theory algorithms used in CBIR have been discussed and compared viz. NN Graphs, Collocation Tree, Graphlets, Efficient Manifold Ranking, A* algorithm and segmentation algorithm.