Retinal Vessel Segmentation from a Hyperspectral Camera Images
| Autor: | Jean-Philippe Sylvestre, Rana Farah, Frédéric Lesage, Farida Cheriet, Claudia Chevrefils, Samuel Bélanger, Reza Jafari |
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| Rok vydání: | 2017 |
| Předmět: |
Channel (digital image)
business.industry Computer science Multispectral image ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Hyperspectral imaging Retinal Vessel segmentation 030218 nuclear medicine & medical imaging Retinal vessel 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine chemistry Line (geometry) 030221 ophthalmology & optometry Segmentation Computer vision Artificial intelligence business ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319598758 ICIAR |
| Popis: | In this paper, a vessel segmentation method from hyperspectral retinal images based on the Multi-Scale Line Detection algorithm is proposed. The method consists in combining segmentation information from several consecutive images obtained at specific wavelengths around the green channel to produce an accurate segmentation of the retinal vessel network. Images obtained from six subjects were used to evaluate the performance of the proposed method. Preliminary results suggest a potential advantage of combining multispectral information instead of using only the green channel in segmenting retinal blood vessels. |
| Databáze: | OpenAIRE |
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