Computationally Efficient Optic Nerve Head Detection in Retinal Fundus Images
Autor: | Pourreza-Shahri, Reza, Tavakoli, Meysam, Kehtarnavaz, Nasser |
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Rok vydání: | 2019 |
Předmět: | |
Zdroj: | Biomedical Signal Processing and Control Volume 11, May 2014 |
Druh dokumentu: | Working Paper |
Popis: | This paper presents a computationally efficient method for the detection of optic nerve head in both color fundus and fluorescein angiography images. It involves a combination of Radon transformation and multi-overlapping windows within an optimization framework in order to achieve a robust detection in the presence of various structural, color, and intensity variations in such images. Three databases have been examined and it is shown that the introduced method provides high detection rates while achieving faster proceeding rates than the existing algorithms that possess comparable detection rates. Comment: 63-73 |
Databáze: | arXiv |
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