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A new similarity measure for intensity-based image registration

Shirpour, M ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/ICCKE.2014.6993361
  3. Abstract:
  4. Defining a suitable similarity measure is a crucial step in (medical) image registration tasks. A common problem with frequently used intensity-based image registration algorithms is that they assume intensities of different pixels are independent of each other that could lead to low registration performance especially in the presence of spatially-varying intensity distortions, because they ignore the complex interactions between the pixel intensities. Motivated by this problem, in this paper we present a novel similarity measure which takes into account nonstationarity of the pixels intensity and complex spatially varying intensity distortions in mono-modal settings. Experimental results on benchmark data sets demonstrate the effectiveness of the proposed similarity measure for image registration tasks
  5. Keywords:
  6. Intensity distortions ; Saliency ; Similarity measure ; Algorithms ; Image registration ; Medical imaging ; Benchmark data ; Image registration algorithm ; Non-stationarities ; Pixel intensities ; Registration performance ; WIENER filters ; Pixels
  7. Source: Proceedings of the 4th International Conference on Computer and Knowledge Engineering, ICCKE 2014 ; 18 December , 2014 , Pages 227-232 ; ISBN: 9781479954865
  8. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6993361