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
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.
The University of Queensland
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.