A self-adaptive matched filter for retinal blood vessel detection
| العنوان: | A self-adaptive matched filter for retinal blood vessel detection |
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| المؤلفون: | Xiaoyi Jiang, Dhiraj K. Jha, Tapabrata Chakraborti, Ananda S. Chowdhury |
| المصدر: | Machine Vision and Applications. 26:55-68 |
| بيانات النشر: | Springer Science and Business Media LLC, 2014. |
| سنة النشر: | 2014 |
| مصطلحات موضوعية: | Computer science, business.industry, Orientation (computer vision), Matched filter, Glaucoma, Retinal, Fundus (eye), medicine.disease, Computer Science Applications, chemistry.chemical_compound, chemistry, Hardware and Architecture, Filter (video), Histogram, medicine, Computer vision, Computer Vision and Pattern Recognition, Artificial intelligence, Sensitivity (control systems), business, Software |
| الوصف: | Retinal fundus images are widely studied in medicine for the detection of certain pathologies such as diabetes and glaucoma, the two major reasons for blindness. In this paper, a self-adaptive matched filter for the detection of blood vessels in the retinal fundus images is proposed. In particular, a novel synergistic combination of the vesselness filter with high sensitivity and the matched filter with high specificity is obtained using orientation histogram. Experiments on the publicly available DRIVE database clearly show that the proposed strategy outperforms several existing methods. Comparable performance with some of the state-of-the-art methods has also been obtained on the STARE and CHASE databases. |
| تدمد: | 1432-1769 0932-8092 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::b6c5ebc278267d177f603f46269fe1fdTest https://doi.org/10.1007/s00138-014-0636-zTest |
| حقوق: | CLOSED |
| رقم الانضمام: | edsair.doi...........b6c5ebc278267d177f603f46269fe1fd |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 14321769 09328092 |
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