Academic Journal
Automatic Extraction of Blood Vessels in the Retinal Vascular Tree Using Multiscale Medialness
| العنوان: | Automatic Extraction of Blood Vessels in the Retinal Vascular Tree Using Multiscale Medialness |
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| المؤلفون: | Mariem Ben Abdallah, Jihene Malek, Ahmad Taher Azar, Philippe Montesinos, Hafedh Belmabrouk, Julio Esclarín Monreal, Karl Krissian |
| المصدر: | International Journal of Biomedical Imaging, Vol 2015 (2015) |
| بيانات النشر: | Hindawi Limited, 2015. |
| سنة النشر: | 2015 |
| المجموعة: | LCC:Medical physics. Medical radiology. Nuclear medicine LCC:Medical technology |
| مصطلحات موضوعية: | Medical physics. Medical radiology. Nuclear medicine, R895-920, Medical technology, R855-855.5 |
| الوصف: | We propose an algorithm for vessel extraction in retinal images. The first step consists of applying anisotropic diffusion filtering in the initial vessel network in order to restore disconnected vessel lines and eliminate noisy lines. In the second step, a multiscale line-tracking procedure allows detecting all vessels having similar dimensions at a chosen scale. Computing the individual image maps requires different steps. First, a number of points are preselected using the eigenvalues of the Hessian matrix. These points are expected to be near to a vessel axis. Then, for each preselected point, the response map is computed from gradient information of the image at the current scale. Finally, the multiscale image map is derived after combining the individual image maps at different scales (sizes). Two publicly available datasets have been used to test the performance of the suggested method. The main dataset is the STARE project’s dataset and the second one is the DRIVE dataset. The experimental results, applied on the STARE dataset, show a maximum accuracy average of around 94.02%. Also, when performed on the DRIVE database, the maximum accuracy average reaches 91.55%. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1687-4188 1687-4196 |
| Relation: | https://doaj.org/toc/1687-4188; https://doaj.org/toc/1687-4196 |
| DOI: | 10.1155/2015/519024 |
| URL الوصول: | https://doaj.org/article/a26174173546488d974db4d349c000d0 |
| رقم الانضمام: | edsdoj.26174173546488d974db4d349c000d0 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 16874188 16874196 |
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| DOI: | 10.1155/2015/519024 |