CBMIR: Content Based Medical Image Retrieval Using Multilevel Hybrid Approach


  • B. Ramamurthy Department of Computer Science Sri Ramakrishna Engineering College NGGO Colony P.O Vattamalaipalyam Coimbatore India
  • K.R. Chandran PSG College of Technology, Coimbatore, India.


CBMIR, CBIR, euclidean method, precision, recall


The problem of retrieval and managing of medical images has become more important due to its scalability and rich information contained in it. In day to day activities, as more as medical images were converted into digital form. Due to its nature, the need for efficient and simple access to this data is essential one. This paper proposed a novel approach namely “content based medical image retrieval using multilevel hybrid approach" to manage and retrieval of this data.This work has been implemented as four levels. In each level, the retrieval performance of the work has been improved. The result of this work has been compared with some of the existing works that are made as literature review on this work.


B. Ramamurthy, K.R.Chandran (2011); CBMIR: Shape-based image Retrieval using canny edge Detection and k-means Clustering algorithms for Medical images, International Journal of Engineering Science and Technology (IJEST), ISSN: 0975-5462, 3(2): 1864-1872.

B. Ramamurthy, K.R.Chandran (2012); Content Based Medical Image Retrieval with Texture Content Using Gray Level Co-occurrence Matrix and K-Means Clustering Algorithms, Journal of Computer Science, ISSN 1549-3636, 8(7): 1070-1076.

B. Ramamurthy, K.R.Chandran (2013); CBMIR: Content Based Medical Image Retrieval Using Shape and Texture Content, Advances in Modeling B: AMSE Press, France, 56(2): 84-95.

Xiaohong Gao, Yu Qian (2012); MIRAGE: An E-repository of Medical Images for Learning Biomedical Informatics, eTELEMED 2012: The Fourth International Conference on eHealth, Telemedicine, and Social Medicine, January 30, 2012 to February 4, 2012, ISBN: 978-1-61208-179-3, Valencia, Spain, 209 - 214

Thomas M. Deserno, Michael Soiron, Júlia E. E. de Oliveira, and Arnaldo de A. Araújo(2012); Computer-aided diagnostics of screening mammography using content-based image retrieval, Proceedings of Society of Photo-Optical Instrumentation Engineers (SPIE), Vol 8315, Medical Imaging 2012: Computer-Aided Diagnosis,(February23,2012), San Diego, California, pp.831527-831527-9.

Panagiotis Sidiropoulos, Stefanos Vrochidis, Ioannis Kompatsiaris (2011); Content-based binary image retrieval using the adaptive hierarchical density histogram, Pattern Recognition, 44(4): 739 - 750. http://dx.doi.org/10.1016/j.patcog.2010.09.014

Sérgio Francisco da Silva, Marcela Xavier Ribeiro,João do E.S. Batista Neto, Caetano Traina-Jr.,Agma J.M. Traina(2011); Improving the ranking quality of medical image retrieval using a genetic feature selection method, Decision Support Systems, 51(4): 810 - 820. http://dx.doi.org/10.1016/j.dss.2011.01.015

Mohammed Eisa,Ibrahim Elhenawy, A. E. Elalfi and Hans Burkhardt(2006); Image Retrieval based on Invariant Features and Histogram Refinement, International Journal on Graphics, Vision and Image Processing (ICGST), pp. 6: 7-11.

M. Flickner, et al (1995); Query by Image and Video Content: The QBIC System, IEEE Computer, 28(9): 23-32.

Xiaohui Yang, Lijun Cai (2014); Adaptive Region Matching for Region- based Image Retrieval by Constructing Region Importance Index, IET Comput. Vis, 8(2): 141-151.

Bor-Chun Chen,Yan-Ying Chen et al (2013); Scalable Face Image Retrieval Using Attribute- Enhanced Sparse Codewords, IEEE Transactions On Multimedia, 15(5): 1163-1173. http://dx.doi.org/10.1109/TMM.2013.2242460

Subrahmanyam Murala et al (2014); Local Mesh Patterns Versus Local Binary Patterns: Biomedical Image Indexing and Retrieval, IEEE Journal of Biomedical and Health Informatics, 18(3):929-938. http://dx.doi.org/10.1109/JBHI.2013.2288522



Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.