This work is focused on tuning an algorithm for the automatic detection of the retinal blood vessels. Such optimization and adaptation are aimed to allow the analysis of the vessel network in preterm babies affected by Retinophathy of Prematurity. In the first chapter, the anatomical structure of the human eye is described and special attention is paid to the retina. The second chapter deals with ROP . The third chapter focuses on the segmentation of retinal images, especially in premature babies, and introduces the RetCam imaging system. In the fourth chapter the applied algorithm is defined, and the changes that have been applied to it are carefully explained. Finally, the fifth chapter presents the search results with the related conclusions and recommendations for the future
Retinal vasculature analysis: tuning and optimization for RETCAM images
Cardin, Silvia
2010/2011
Abstract
This work is focused on tuning an algorithm for the automatic detection of the retinal blood vessels. Such optimization and adaptation are aimed to allow the analysis of the vessel network in preterm babies affected by Retinophathy of Prematurity. In the first chapter, the anatomical structure of the human eye is described and special attention is paid to the retina. The second chapter deals with ROP . The third chapter focuses on the segmentation of retinal images, especially in premature babies, and introduces the RetCam imaging system. In the fourth chapter the applied algorithm is defined, and the changes that have been applied to it are carefully explained. Finally, the fifth chapter presents the search results with the related conclusions and recommendations for the futureFile | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/13980