Content Based Image Retrieval Using Color and Shape Features

Advances in image acquisition and storage technology have led to tremendous growth in significantly large and detailed image databases. These images, if analyzed, can reveal useful information to the human users. Content based image retrieval (CBIR) deals with the extraction of implicit knowledge from the image database. Feature selection and extraction is the pre-processing step of CBIR. Obviously this is a critical step in the entire scenario of CBIR. Though there are various features available, the aim is to identify the best features and thereby extract relevant information from the images and these features are compared with the query image features and retrieve the images closely relative to the query image.