Abstract

The vigorous growth and continual intelligibility of visual information on the cyberspace have led to the richness of research projects in image search and retrieval. With the lack of concern on the visual contents of an image, the text based search techniques for image retrieval often suffers variability between the text words and visual content. Hence Content Based Image Retrieval (CBIR) has achieved a great appeal as it models the perceptual content of an image to identify similar relevant images. This paper aims at discussing the evolution of retrieval techniques, paying particular attention on development, merits, demerits and challenges of the image retrieval. It focuses on reviewing the already existing techniques and its related issues. The enormous development of image data necessitates the need for the expansion of research and helps in the progress of efficient and accurate image retrieval. Also, CBIR maintains a sustained growth in the research field.

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