Vessel detection in retinal images using Radon transform and genetic algorithm
عنوان مقاله: Vessel detection in retinal images using Radon transform and genetic algorithm
شناسه ملی مقاله: ICMVIP06_003
منتشر شده در ششمین کنفرانس ماشین بینایی و پردازش تصویر ایران در سال 1389
شناسه ملی مقاله: ICMVIP06_003
منتشر شده در ششمین کنفرانس ماشین بینایی و پردازش تصویر ایران در سال 1389
مشخصات نویسندگان مقاله:
Adel Ghazikhani - PhD student, Computer Engineering Department, Ferdowsi University of Mashhad, Iran
Hamidreza Pourreza - Associate Professor, Computer Engineering Department, Ferdowsi University of Mashhad, Iran
خلاصه مقاله:
Adel Ghazikhani - PhD student, Computer Engineering Department, Ferdowsi University of Mashhad, Iran
Hamidreza Pourreza - Associate Professor, Computer Engineering Department, Ferdowsi University of Mashhad, Iran
We propose a novel algorithm for vessel detection in retinal images. The proposed algorithm incorporates Radon Transform(RT) and Genetic Algorithm(GA) to detect vessels. We use RT because vessels could be approximated accurately by sets of lines. Since retinal images contain vessels of different size and width RT is performed locally. The local RT has parameters that should be set manually or automatically.We use GA to optimize the parameters of RT automatically. Our algorithm has been evaluated and compared with a similar algorithm using a standard dataset. The results show improvements in vessel detection.
کلمات کلیدی: Radon transform, Genetic algorithm, vessel detection, retinal images
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/113436/