Rapid growth of World Wide Web has increased the interest towards image retrieval. Different groups need to find a desired image from a collection. The users may require access to the images, based on primitive features, such as color, texture or shape, or associated text. The technology to access these images has also accelerated phenomenally. The current approaches are broad and inter-disciplinary, mainly focused on three aspects of image research which are text-based retrieval, content-based retrieval and interactive based image retrieval. Recently, Content-Based Image Retrieval (CBIR) has become an active research area. This paper gives the literature survey for CBIR which explains rapid growth in this field. It briefly discusses the work done by different researchers.

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Pattern Recognition Algorithms Machine Learning Image Processing Image Retrieval Content Based Image Retrieval Features Texture Shape Entropy Text Based Retrieval Interactive Based Image Retrieval