Research Commons
      • Browse 
        • Communities & Collections
        • Titles
        • Authors
        • By Issue Date
        • Subjects
        • Types
        • Series
      • Help 
        • About
        • Collection Policy
        • OA Mandate Guidelines
        • Guidelines FAQ
        • Contact Us
      • My Account 
        • Sign In
        • Register
      View Item 
      •   Research Commons
      • University of Waikato Research
      • Science and Engineering
      • Science and Engineering Papers
      • View Item
      •   Research Commons
      • University of Waikato Research
      • Science and Engineering
      • Science and Engineering Papers
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Colour normalisation to reduce inter-patient and intra-patient variability in microaneurysm detection in colour retinal images

      Cree, Michael J.; Gamble, E.; Cornforth, D.J.
      Thumbnail
      Files
      Colour Normalisation.pdf
      1.967Mb
      Link
       www.aprs.org.au
      Citation
      Export citation
      Cree, M. J., Gamble, E. & Cornforth, D. (2005). Colour normalisation to reduce inter-patient and intra-patient variability in microaneurysm detection in colour retinal images. In B. C. Lovell & A. J. Maeder (eds), WDIC 2005, APRS Workshop on digital image computing, The University of Queensland, Brisbane, Australia, 21 February, 2005 (pp. 163-168).
      Permanent Research Commons link: https://hdl.handle.net/10289/2923
      Abstract
      Images of the human retina vary considerably in their appearance depending on the skin pigmentation (amount of melanin) of the subject. Some form of normalisation of colour in retinal images is required for automated analysis of images if good sensitivity and specificity at detecting lesions is to be achieved in populations involving diverse races. Here we describe an approach to colour normalisation by shade-correction intra-image and histogram normalisation inter-image. The colour normalisation is assessed by its effect on the automated detection of microaneurysms in retinal images. It is shown that the Na¨ıve Bayes classifier used in microaneurysm detection benefits from the use of features measured over colour normalised images.
      Date
      2005
      Publisher
      The University of Queensland
      Rights
      This article has been published in the proceeding of WDIC 2005, APRS Workshop on digital image computing, The University of Queensland, Brisbane, Australia, 21 February, 2005.
      Collections
      • Science and Engineering Papers [3143]
      Show full item record  

      Usage

      Downloads, last 12 months
      33
       
       

      Usage Statistics

      For this itemFor all of Research Commons

      The University of Waikato - Te Whare Wānanga o WaikatoFeedback and RequestsCopyright and Legal Statement