Multi-resolution Joint LBP Histograms for Biomedical Image Retrieval | Zendy

K. PrasanthiJasmine | Zendy; P. Rajesh Kumar | Zendy

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Multi-resolution Joint LBP Histograms for Biomedical Image Retrieval

Author(s) -

K. PrasanthiJasmine,

P. Rajesh Kumar

Publication year - 2014

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/16575-6260

Subject(s) - computer science , joint (building) , histogram , resolution (logic) , artificial intelligence , computer vision , image (mathematics) , information retrieval , architectural engineering , engineering

paper, a new image indexing and retrieval algorithm using multi-resolution local binary patterns (LBP) with joint histogram is proposed. The existing LBP extracts the relationship between the center pixel and its surrounding neighbors in an image. The proposed method encodes the joint histogram between the multi- resolution LBPs which are calculated using Gaussian filter bank with different standard deviations. The retrieval results of the proposed method have been tested on OASIS magnetic resonance imaging (MRI) database. The results after being investigated shows a significant improvement in terms of precision as compared to LBP and other LBP like features.

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