摘要：Abstract -Retrieval of a query image from a large database of images is an important task in the area of computer vision and image processing. A number of good search engines are available today for retrieving the image, but there are not many fast tools to retrieve intensity and color images. Thus there is continued need to develop efficient algorithms in image mining and content based image retrieval and resizing. In content based image retrieval system (CBIR) systems, the images are searched and retrieved based on the visual content of the images. In the first part of CBIR system, the images from the image database are processed offline. The features from each image in the image database are extracted to form the metadata information of the image, in order to describe the image using its visual content features. Next these features are used to index the image, and they are stored into the metadata database along with the images. In the second part, the retrieval process is depicted. The query image is analyzed to extract the visual features, and these features are used to retrieve the similar images from the image database. Rather than directly comparing two images, similarity of the visual features of the query image is measured with the features of each image stored in the metadata database as their signatures. The retrieval systems returns the most matching image.
