Principal Component Analysis based Colour Scheme Optimisation in Eye Fundus Images - Contrast Enhancement for Detection and Evaluation of Drusen in Age Related Macular Degeneration Patients' Follow up

Algimantas Kriščiukaitis, Robertas Petrolis, Daiva Stanislovaitienė, Dalia Žaliunienė

Abstract

Efficiency of the patient status monitoring in Age Related Macular Degeneration cases, based on evaluation of morphological properties eye fundus images, can be significantly increased by specific contrast enhancement in the images. Objects of interest - drusen (focal deposits of extracellular debris located between the basal lamina of the retinal pigment epithelium and the inner collagenous layer of Bruch membrane) usually are represented by various intensity but the same unique color in the image. Construction of the optimal color scheme to increase the contrast of drusen can be realized by means of Principal Component Analysis, which transforms original RGB color representation into principal components space. The study demonstrates that proposed method can increase contrast-to-noise ratio of the drusen areas 10-fold or more.

References

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Paper Citation


in Harvard Style

Kriščiukaitis A., Petrolis R., Stanislovaitienė D. and Žaliunienė D. (2014). Principal Component Analysis based Colour Scheme Optimisation in Eye Fundus Images - Contrast Enhancement for Detection and Evaluation of Drusen in Age Related Macular Degeneration Patients' Follow up . In Proceedings of the International Conference on Bioimaging - Volume 1: BIOIMAGING, (BIOSTEC 2014) ISBN 978-989-758-014-7, pages 66-69. DOI: 10.5220/0004910500660069


in Bibtex Style

@conference{bioimaging14,
author={Algimantas Kriščiukaitis and Robertas Petrolis and Daiva Stanislovaitienė and Dalia Žaliunienė},
title={Principal Component Analysis based Colour Scheme Optimisation in Eye Fundus Images - Contrast Enhancement for Detection and Evaluation of Drusen in Age Related Macular Degeneration Patients' Follow up},
booktitle={Proceedings of the International Conference on Bioimaging - Volume 1: BIOIMAGING, (BIOSTEC 2014)},
year={2014},
pages={66-69},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004910500660069},
isbn={978-989-758-014-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bioimaging - Volume 1: BIOIMAGING, (BIOSTEC 2014)
TI - Principal Component Analysis based Colour Scheme Optimisation in Eye Fundus Images - Contrast Enhancement for Detection and Evaluation of Drusen in Age Related Macular Degeneration Patients' Follow up
SN - 978-989-758-014-7
AU - Kriščiukaitis A.
AU - Petrolis R.
AU - Stanislovaitienė D.
AU - Žaliunienė D.
PY - 2014
SP - 66
EP - 69
DO - 10.5220/0004910500660069