A Novel Content Based Medical Image Retrieval with Decimated Bi-orthogonal Spline Wavelet Filter Banks

Shaik NayabRasool, Y DevaRaju, P Prasanna Murali Krishna


Content based image retrieval (CBIR) is an imperative and testing errand in numerous fields, for example, military, common, restorative and even in web applications. Here, we introduced novel content based medical image retrieval with decimated bi-orthogonal spline wavelet filter banks. Proposed algorithm is an extension for the existing low level feature extraction method done by using spline wavelet filters, also utilized iterative partitioning (IP) for extracting the similar patterns of query and database images. Simulation results shows that the proposed method has performed superior to the existing scheme in terms of precision and recall. 


CBIR, Bi-orthogonal spline wavelets, DWT, segmentation, iterative partitioning and precision

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