In Today's digital world vast amount of digital images are shared in online. When the number of images increased day by day the image retrieval based upon user perception is decreasing. In order to retrieve the relevant image we should need high efficient algorithms as well as retrieval methods. Image indexing plays an important role in image retrieval. Because by means of indexing only we can correlate the images and based on that only we can retrieve relevant images. But indexing also having

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... roblem when we had a very huge image database. Usually we are having two kinds of image retrieving methods Text Based IR and Content Based IR. In this paper we are going to see in detail about the methods as well as efficient algorithms for retrieving relevant image. Keywords Image Retrieval, low level features, CBIR. Precision: P(a) = N(a)/ N(a) and W(a) Recall: R(a) = N(a)/ T(a) N(a)-Number of Images retrieved relevant to query image