A Review: Content Based Image Retrieval Architecture and Technique

Image retrieval is a very imperative area of digital image processing. Images can be retrieving from a large database on the basis of text, color, structure or content. Content-based image retrieval uses the visual fillings of an image such as texture, color, shape, & spatial layout to represent and index the image. In typical CBIR systems, the visual content of the pictures in the database are extracted & described by multi-dimensional feature vectors. The feature vector of the images in the database forms a feature database. To retrieve the images, users offer the retrieval system with example images. The structure then changes these examples into its internal representation of feature vectors. In this paper we present the review on various content based image retrieval techniques. Keyword: Content-Based Image Retrieval (CBIR), Bit pattern feature, color co-occurrence feature, content-based image retrieval.