Abstract: As the tremendous growth in the volume of images as well as the widespread application in multiple fields, the requirements for development of image retrieval techniques are enhanced. The image retrieval is an interesting and rapidly growing methodology in all fields. It is an effective and well organized approach for retrieving the image. In the other end, image mining is the arising concept which can be used to extract potential information from the collection of images. Image mining is the process of searching and discovering valuable information and knowledge from large volumes of data. It is an extension of data mining techniques for images. It handles the hidden knowledge extraction, image data association and additional patterns which are not clearly accumulated in the images. In this paper we provide an overview of the fundamental theories and emerging techniques for Image Retrieval and image mining, as well as several extended work in these areas.

Keywords: Image retrieval, Image features, Extraction, Color models, Texture, Shape, Content based image retrieval.