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An Automated Tracking Approach for Extraction of Retinal Vasculature in Fundus Images
PURPOSE: To present a novel automated method for tracking and detection of retinal blood vessels in fundus images. METHODS: For every pixel in retinal images, a feature vector was computed utilizing multiscale analysis based on Gabor filters. To classify the pixels based on their extracted features...
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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Ophthalmic Research Center
2010
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3380666/ https://ncbi.nlm.nih.gov/pubmed/22737322 |
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