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      https://www.ias.ac.in/article/fulltext/sadh/037/06/0709-0721

    • Keywords

       

      Gerschgorin circle; Gerschgorin bound; covariance matrix; eigenvalues; normalized cross-correlation; magnetic resonance images (MRI).

    • Abstract

       

      In this paper, an efficient similarity measure technique is proposed for medical image registration. The proposed approach is based on the Gerschgorin circles theorem. In this approach, image registration is carried out by considering Gerschgorin bounds of a covariance matrix of two compared images with normalized energy. The beauty of this approach is that there is no need to calculate image features like eigenvalues and eigenvectors. This technique is superior to other well-known techniques such as normalized cross-correlation method and eigenvalue-based similarity measures since it avoids the false registration and requires less computation. The proposed approach is sensitive to small defects and robust to change in illuminations and noise. Experimental results on various synthetic medical images have shown the effectiveness of the proposed technique for detecting and locating the disease in the complicated medical images.

    • Author Affiliations

       

      Vilas H Gaidhane1 Yogesh V Hote2 Vijander Singh1

      1. Department of Instrumentation and Control Engineering, Netaji Subhas Institute of Technology, University of Delhi, New Delhi, 110 078 India
      2. Department of Electrical Engineering, Indian Institute of Technology, Roorkee, 247 667 India
    • Dates

       
  • Sadhana | News

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