Journal of Mechanics in Medicine and Biology

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Jul 13, 2016 - Journal of Mechanics in Medicine and Biology, Online Ready ... 2Department of Biomedical Engineering, Technology Faculty, University ...
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You have requested the following : Journal of Mechanics in Medicine and Biology, Online Ready A HYBRID METHOD FOR MEDICAL IMAGES INDEXING USING PRINCIPAL COMPONENT ANALYSIS AND CDF BIORTHOGONAL WAVELET BASED ON LIFTING SCHEME SOUAD MEZIANE TANI, ISMAIL BOUKLI HACENE, and ABDELHAFID BESSAID (doi: 10.1142/S0219519417500361)

A HYBRID METHOD FOR MEDICAL IMAGES INDEXING USING PRINCIPAL COMPONENT ANALYSIS AND CDF BIORTHOGONAL WAVELET BASED ON LIFTING SCHEME SOUAD MEZIANE TANI 1, * ISMAIL BOUKLI HACENE2 ABDELHAFID BESSAID3 1Department

of Computer Science, Faculty of Science, University Tlemcen 13000, Algeria

2Department

of Biomedical Engineering, Technology Faculty, University Tlemcen 13000, Algeria

3Department

of Biomedical Engineering, University Tlemcen 13000, Algeria

*Corresponding

author.

Received: 15 April 2015 Revised: 1 December 2015 Accepted: 29 April 2016 Published: 13 July 2016 Hospitals and clinics produce a great number of medical images that are stored in large databases. Content-based medical image retrieval systems (CBMIRs) is one of the solutions to access rapidly and efficiently to these databases using their visual content. In this paper, we propose a new algorithm for medical image indexing. It consists on a combination of bio-orthogonal CDF wavelet transform (WT) based on lifting scheme and principal component analysis (PCA). We use this WT to decompose images, then we apply the PCA method to reduce the number of features and select the pertinent components which represent image signature. Finally, Euclidean distance is used to retrieve most similar image from databases when query image is submitted. We have tested our algorithm on the retinal image database. The results obtained by our algorithm are compared with several published methods cited in the literature and shows an efficiency of 80%, which is significantly higher and much faster than recent methods in CBMIRs domain. Keywords: CBMIRs; texture; PCA; CDF 9/7 (lifting scheme); features extraction

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08/09/2016 17:20