Abstract
Eye diagnostic, two-step method based on retina color image and Optical Coherence Tomography is presented in this paper. A new robust algorithm, by which various eye diseases can be diagnosed, was implemented as an essential part of the work. The approach comprises two steps. The first one deals with the analysis of retina color image. In this stage, an algorithm was implemented to especially search hard exudates. If the algorithm returns positive, it means at least one hard exudate was found. Moreover, it may return hesitant results in the case of changes that look like hard exudates. During the second step, additional analysis of Optical Coherence Tomography image is done. In this stage, the algorithm is looking for confirmation of hard exudates, which were found during the first step. The authors’ approach gives more confidence in the cases of small exudates or initial stages for eye diseases.
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Acknowledgements
This work was supported by grant S/WI/1/2013 from Bialystok University of Technology and funded with resources for research by the Ministry of Science and Higher Education in Poland.
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Szymkowski, M., Saeed, E., Saeed, K. (2018). Retina Tomography and Optical Coherence Tomography in Eye Diagnostic System. In: Chaki, R., Cortesi, A., Saeed, K., Chaki, N. (eds) Advanced Computing and Systems for Security. Advances in Intelligent Systems and Computing, vol 666. Springer, Singapore. https://doi.org/10.1007/978-981-10-8180-4_3
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DOI: https://doi.org/10.1007/978-981-10-8180-4_3
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