Enhanced retinal image registration accuracy using expectation maximisation and variable bin-sized mutual information

Parminder Singh Reel, Laurence S. Dooley, K. C. P Wong, Anko Borner

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

While retinal images (RI) assist in the diagnosis of various eye conditions and diseases such as glaucoma and diabetic retinopathy, their innate features including low contrast homogeneous and non-uniformly illuminated regions, present a particular challenge for retinal image registration (RIR). Recently, the hybrid similarity measure, Expectation Maximization for Principal Component Analysis with Mutual Information (EMPCA-MI) has been proposed for RIR. This paper investigates incorporating various fixed and adaptive bin size selection strategies to estimate the probability distribution in the mutual information (MI) stage of EMPCA-MI, and analyses their corresponding effect upon RIR performance. Experimental results using a clinical mono-modal RI dataset confirms that adaptive bin size selection consistently provides both lower RIR errors and superior robustness compared to the empirically determined fixed bin sizes.
Original languageEnglish
Pages6632-6636
Number of pages5
DOIs
Publication statusPublished - May 2014
EventICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Florence, Italy
Duration: 4 May 20149 May 2014

Conference

ConferenceICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Period4/05/149/05/14

Keywords

  • Retina
  • Image registration
  • Mutual information
  • Accuracy
  • Robustness
  • Joints
  • Estimation

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    Reel, P. S., Dooley, L. S., Wong, K. C. P., & Borner, A. (2014). Enhanced retinal image registration accuracy using expectation maximisation and variable bin-sized mutual information. 6632-6636. Paper presented at ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), . https://doi.org/10.1109/ICASSP.2014.6854883