@inproceedings{980c6e0905e54c6f87af90999e191fc1,
title = "Automated image assessment of posterior capsule opacification using H{\"o}lder exponents",
abstract = "Posterior Capsule Opacification (PCO) remains to be the most common complication of cataract surgery after intraocular lens implantation. Though several strategies have been suggested for the prevention of PCO, a standard PCO quantification system is required to reliably assess the effectiveness of these strategies. This paper proposes a method based on computation of H{\"o}lder exponents to quantify the amount of PCO in the digital image. PCO areas are effectively detected and classified according to their severity using histogram-based thresholding on H{\"o}lder exponent image. This method is implemented in Matlab and verified on real PCO images. The results show a high correlation of 83\% between the computed PCO scores and the clinical grades, as well as demonstrate the robustness of the proposed system to monotonic illumination variations.",
keywords = "Automated Assessment, Histogram based Thresholding, H{\"o}lder Exponent, Posterior Capsule Opacification, Texture",
author = "Aruna Vivekanand and Naoufel Werghi and Hussain Al-Ahmad",
year = "2013",
doi = "10.1109/ICECS.2013.6815470",
language = "British English",
isbn = "9781479924523",
series = "Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "538--541",
booktitle = "2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013",
address = "United States",
note = "2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013 ; Conference date: 08-12-2013 Through 11-12-2013",
}