An Implementation of Scale Invariant Feature Transform (SIFT) Algorithm Using Content Based Image Retrieval
S. Poovizhi · 2014
Successful retrieval of relevant images from large- scale image collections is one of the current probl em in the field of data management. Content-Based Image Retrieval (CBIR), also known as Query by Image Content (QBIC) is the application to solve image retrieval problem, that is, the problem of searching for digi tal images in large databases. SIFT (Scale Invariant Feature Tran sform) has been identified as a promising algorithm for this application.. The algorithm is specifically tested for its feasibility for finding matches between two different images.