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The automatic detection of the optic disc location in retinal images using optic disc location regression
Conference proceeding

The automatic detection of the optic disc location in retinal images using optic disc location regression

Michael D Abràmoff and Meindert Niemeijer
2006 International Conference of the IEEE Engineering in Medicine and Biology Society, Vol.1, pp.4432-4435
08/2006
DOI: 10.1109/IEMBS.2006.259622
PMCID: PMC2739589
PMID: 17947087

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Abstract

The automatic detection of the position of the optic disc is an important step in the automatic analysis of retinal images. A method to detect the approximate position of the optic disc using kNN regression is presented. The method starts by building a regression model of the optic disc position. Using a prior vessel segmentation all vessel pixels are searched for those which are inside the optic disc according to the regression model. The regression output is blurred to handle noise. The point which is closest to the middle of the optic disc is chosen. The method was tested on 1000 screening images and was able to find the correct position in 99.9% of all cases
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