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      Permanent link:
      https://www.ias.ac.in/article/fulltext/sadh/039/02/0317-0331

    • Keywords

       

      Normalized cross-correlation; similarity measure; eigenvalue; covariance matrix; template matching.

    • Abstract

       

      Image registration using template matching is an important step in image processing. In this paper, a simple, robust and computationally efficient approach is presented. The proposed approach is based on the properties of a normalized covariance matrix. The main advantage of the proposed approach is that the image matching can be achieved without calculating eigenvalues and eigenvectors of a covariance matrix, hence reduces the computational complexity. The experimental results show that the proposed approach performs better in the presence of various noises and rigid geometric transformations.

    • Author Affiliations

       

      Vilas H Gaidhane1 Yogesh V Hote2 Vijander Singh1

      1. Department of Instrumentation and Control Engineering, NSIT, University of Delhi, New Delhi, India
      2. Department of Electrical Engineering, Indian Institute of Technology (IIT) Roorkee, India
    • Dates

       
  • Sadhana | News

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