Radyoterapi uygulamaları için otomatik İris lokalizasyonu automated iris localization for radiotherapy applications

Uveal melanoma is a type of tumor that can cause loss of vision, loss of organ or even metastasis and loss of life. Radiotherapy is considered to be the least harmful and successful treatment type among various treatment methods. Radiotherapy should be carried out sensitively without movements of the iris. Therefore, the procedure is mostly performed by local anesthesia. Unfortunately, eye anesthesia can cause complications; therefore alternative methods are gaining importance. In this article, a method is proposed that can track the eye with a camera and automatically detect blinking so that radiotherapy can be aborted. Thus, we will be able to apply radiotherapy without anesthesia and it will be possible to stop the radiotherapy automatically so that the iris is not damaged in case of blinking. The developed method has been tested under various lighting conditions and it has been observed that the method has a very successful performance.

[1]  F. Billson,et al.  Primary iris melanoma: diagnostic features and outcome of conservative surgical treatment , 2001, The British journal of ophthalmology.

[2]  Rui Li,et al.  Robust eye extraction using deformable template and feature tracking ability , 2003, Fourth International Conference on Information, Communications and Signal Processing, 2003 and the Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint.

[3]  S. M. A. Motakabber,et al.  Edge detection techniques for iris recognition system , 2013 .

[4]  Matti Pietikäinen,et al.  Face Description with Local Binary Patterns: Application to Face Recognition , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  Huachun Tan,et al.  Detecting eye blink states by tracking iris and eyelids , 2006, Pattern Recognition Letters.

[6]  Ming Li,et al.  2D-LDA: A statistical linear discriminant analysis for image matrix , 2005, Pattern Recognit. Lett..