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Structural image representation for image registration

Aghajani, K ; Sharif University of Technology | 2015

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  1. Type of Document: Article
  2. DOI: 10.1109/AISP.2015.7123534
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2015
  4. Abstract:
  5. Image registration is an important task in medical image processing. Assuming spatially stationary intensity relation among images, conventional area based algorithms such as CC (Correlation Coefficients) and MI (Mutual Information), show weaker results alongside spatially varying intensity distortion. In this research, a structural representation of images is introduced. It allows us to use simpler similarity metrics in multimodal images which are also robust against the mentioned distortion field. The efficiency of this presentation in non-rigid image registration in the presence of spatial varying distortion field is examined. Experimental results on synthetic and real-world data sets demonstrate the effectiveness of the proposed method for image registration tasks
  6. Keywords:
  7. Image Registration ; Phase Congruency ; Structural Image Representation ; Artificial intelligence ; Image processing ; Image retrieval ; Medical imaging ; Signal processing ; Virtual reality ; Area based algorithms ; Correlation coefficient ; Mutual informations ; Nonrigid image registration ; Similarity metrics ; Structural representation ; Medical image processing
  8. Source: 2015 International Symposium on Artificial Intelligence and Signal Processing, AISP 2015, 3 March 2015 through 5 March 2015 ; March , 2015 , Pages 95-100 ; 9781479988174 (ISBN)
  9. URL: http://ieeexplore.ieee.org/document/5543432/?reload=true&arnumber=5543432