Axial T2 Weighted MR Brain Image Retrieval Using Moment Features

  • Abraham Varghese
  • Reji Rajan Varghese
  • Kannan Balakrishnan
  • J. S. Paul
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 177)


Magnetic resonance images play a vital role in identifying various brain related problems. Some of the diseases of the brain show abnormalities predominately at a particular anatomical location which on MR appears at a slice at defined level. This paper proposes a novel technique to locate desired slice using Rotational, Scaling and Translational (RST) invariant features derived from a ternary encoded local binary pattern (LBP)image. The LBP image is obtained by labeling each pixel with a code of the texture primitive based on the local neighborhood. The ternary encoding on LBP identifies the boundary of the uniform region and thus reduces the time for calculating moments of different order. The distance function based on the RST features extracted from LBP between query and database image is used to retrieve similar images corresponds to the query image.


Feature Reduction Rotational Scaling and Translational (RST) invariant features Local Binary pattern Eccentricity Precision & Recall 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Abraham Varghese
    • 1
  • Reji Rajan Varghese
    • 2
  • Kannan Balakrishnan
    • 3
  • J. S. Paul
    • 4
  1. 1.Computer Science and Engg.AsietKaladyIndia
  2. 2.Co-operative Medical CollegeCochinIndia
  3. 3.Cochin University of Science and TechnologyCochinIndia
  4. 4.Indian Institute of Information Technology and Management, TVMThiruvananthapuramIndia

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