A Robust Framework for Content-Based Retrieval by Spatial Similarity in Image Databases

摘要

A framework for retrieving images by spatial similarity (FRISS) in image databases is presented. In this framework, a robust retrieval by spatial similarity (RSS) algorithm is defined as one that incorporates both directional and topological spatial constraints, retrieves similar images, and recognizes images even after they undergo translation, scaling, rotation (both perfect and multiple), or any arbitrary combination of transformations.