Content-based Image Retrieval by Spatial Similarity

Similarity-based retrieval of images is an important task in image databases. Most of the user's queries are on retrieving those database images that are spatially similar to a query image. In defence ntratenies. one wants to h o w a number of armowed vehicles. such as battle tanks. oortable missile...-..--..--- ~ ~~~- ~ ~ ~ launching vehicles, etc. moving towards it, so that one can decide counter strategy. content-based spatial similaritv retrieval of imaaes can be used to locate soatial relationshiv of various obiects in a m c i f i c area..... ~~~~~ ~ ~~ ~ ~ ~- ~ ~ ~ from the aerial photographs and to retrieve images similar to the query image from image database. A content-based image retrieval system that erticiently and effectively retrieves information from a defence image database along with the architecture for retrieving images by spatial similarity is presented. A robust alaorithm SIM..for retrieval bv soatial similarin, is ~rooosed that utilises both directional and topological- w.-----relations for computing similarity between images, retrieves similar images and recognises images even after thev undcrno modellinn transformations (translation. scale and rotation). A case study for some of the comkon obhcts, used i i defence applicat~ons using ~ ~ ~ ~ a l ~ o r i t h m, has been done.. Keywordr: Content-based image retrieval system, CBIR system, spatial similarity, image database system, retrieval by spatial similarity, RSS, retrieval, similarity algorithm, aerial photographs, RSS algorithm 1