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An Implementation of Scale Invariant Feature Transform (SIFT) Algorithm Using Content Based Image Retrieval.

Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.3, No. 3)

Publication Date:

Authors : ; ;

Page : 1192-1198

Keywords : SIFT (Scale Invariant Feature transform); CBIR (Content Based Image Retrieval); NNS (Nearest Neighbour Search); QoM (Quality of Match).;

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Successful retrieval of relevant images from large-scale image collections is one of the current problem 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 digital images in large databases. SIFT (Scale Invariant Feature Transform) 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.

Last modified: 2014-05-22 16:04:04