PERFORMANCE EVALUATION OF CONTENT BASED IMAGE RETRIEVAL ALGORITHMS USING STATISTICS BASED TRANSFORMS
D. Kishore, P. V. V. Kishore, V. Uma devi · IJITR International Journal of Innovative Technology and Research - IJITR International Journal of Innovative Technology and Research · 2015
In this paper we use statistics based transforms for Content Based Image Retrieval (CBIR). Image signature computed by using the Singular Value Decomposition (SVD), Schur algorithm and K-L Transform (KLT). Singular values used as feature are obtained from SVD of an image. Schur algorithm is a fast procedure for the Cholesky factorization of positive-definite structured matrices. KLT analyzes a set of vectors or images, into basis functions of images where the choice of the basis set depends on the statistics of the image. By using these three transforms similarity between the query image and database image measured here by using simple Euclidean distance (ED). Thus by these statistical transforms we retrieve the relevant image.