BLOOD VESSELS SEGMENTATION METHOD FOR RETINAL FUNDUS IMAGES BASED ON ADAPTIVE PRINCIPAL CURVATURE AND IMAGE DERIVATIVE OPERATORS
Diabetes is a common disease in the modern life. According to WHO’s data, in 2018, there were 8.3% of adult population had diabetes. Many countries over the world have spent a lot of finance, force to treat this disease. One of the most dangerous complications that diabetes can cause is the blood ve...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2019-05-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W12/211/2019/isprs-archives-XLII-2-W12-211-2019.pdf |
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| author | D. N. H. Thanh D. Sergey V. B. Surya Prasath V. B. Surya Prasath V. B. Surya Prasath V. B. Surya Prasath N. H. Hai |
| author_facet | D. N. H. Thanh D. Sergey V. B. Surya Prasath V. B. Surya Prasath V. B. Surya Prasath V. B. Surya Prasath N. H. Hai |
| author_sort | D. N. H. Thanh |
| collection | DOAJ |
| description | Diabetes is a common disease in the modern life. According to WHO’s data, in 2018, there were 8.3% of adult population had diabetes. Many countries over the world have spent a lot of finance, force to treat this disease. One of the most dangerous complications that diabetes can cause is the blood vessel lesion. It can happen on organs, limbs, eyes, etc. In this paper, we propose an adaptive principal curvature and three blood vessels segmentation methods for retinal fundus images based on the adaptive principal curvature and images derivatives: the central difference, the Sobel operator and the Prewitt operator. These methods are useful to assess the lesion level of blood vessels of eyes to let doctors specify the suitable treatment regimen. It also can be extended to apply for the blood vessels segmentation of other organs, other parts of a human body. In experiments, we handle proposed methods and compare their segmentation results based on a dataset – DRIVE. Segmentation quality assessments are computed on the Sorensen-Dice similarity, the Jaccard similarity and the contour matching score with the given ground truth that were segmented manually by a human. |
| first_indexed | 2024-12-21T10:06:23Z |
| format | Article |
| id | doaj.art-d2a68084ae8d44028aed6f1fd137b645 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-21T10:06:23Z |
| publishDate | 2019-05-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-d2a68084ae8d44028aed6f1fd137b6452022-12-21T19:07:49ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342019-05-01XLII-2-W1221121810.5194/isprs-archives-XLII-2-W12-211-2019BLOOD VESSELS SEGMENTATION METHOD FOR RETINAL FUNDUS IMAGES BASED ON ADAPTIVE PRINCIPAL CURVATURE AND IMAGE DERIVATIVE OPERATORSD. N. H. Thanh0D. Sergey1V. B. Surya Prasath2V. B. Surya Prasath3V. B. Surya Prasath4V. B. Surya Prasath5N. H. Hai6Department of Information Technology, Hue College of Industry, VietnamDepartment of Information Security, Tula State University, RussiaDivision of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, USADepartment of Pediatrics, University of Cincinnati, OH, USADepartment of Biomedical Informatics, College of Medicine, University of Cincinnati, USADepartment of Electrical Engineering and Computer Science, University of Cincinnati, USADepartment of Informatics, University of Education, University of Danang, VietnamDiabetes is a common disease in the modern life. According to WHO’s data, in 2018, there were 8.3% of adult population had diabetes. Many countries over the world have spent a lot of finance, force to treat this disease. One of the most dangerous complications that diabetes can cause is the blood vessel lesion. It can happen on organs, limbs, eyes, etc. In this paper, we propose an adaptive principal curvature and three blood vessels segmentation methods for retinal fundus images based on the adaptive principal curvature and images derivatives: the central difference, the Sobel operator and the Prewitt operator. These methods are useful to assess the lesion level of blood vessels of eyes to let doctors specify the suitable treatment regimen. It also can be extended to apply for the blood vessels segmentation of other organs, other parts of a human body. In experiments, we handle proposed methods and compare their segmentation results based on a dataset – DRIVE. Segmentation quality assessments are computed on the Sorensen-Dice similarity, the Jaccard similarity and the contour matching score with the given ground truth that were segmented manually by a human.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W12/211/2019/isprs-archives-XLII-2-W12-211-2019.pdf |
| spellingShingle | D. N. H. Thanh D. Sergey V. B. Surya Prasath V. B. Surya Prasath V. B. Surya Prasath V. B. Surya Prasath N. H. Hai BLOOD VESSELS SEGMENTATION METHOD FOR RETINAL FUNDUS IMAGES BASED ON ADAPTIVE PRINCIPAL CURVATURE AND IMAGE DERIVATIVE OPERATORS The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | BLOOD VESSELS SEGMENTATION METHOD FOR RETINAL FUNDUS IMAGES BASED ON ADAPTIVE PRINCIPAL CURVATURE AND IMAGE DERIVATIVE OPERATORS |
| title_full | BLOOD VESSELS SEGMENTATION METHOD FOR RETINAL FUNDUS IMAGES BASED ON ADAPTIVE PRINCIPAL CURVATURE AND IMAGE DERIVATIVE OPERATORS |
| title_fullStr | BLOOD VESSELS SEGMENTATION METHOD FOR RETINAL FUNDUS IMAGES BASED ON ADAPTIVE PRINCIPAL CURVATURE AND IMAGE DERIVATIVE OPERATORS |
| title_full_unstemmed | BLOOD VESSELS SEGMENTATION METHOD FOR RETINAL FUNDUS IMAGES BASED ON ADAPTIVE PRINCIPAL CURVATURE AND IMAGE DERIVATIVE OPERATORS |
| title_short | BLOOD VESSELS SEGMENTATION METHOD FOR RETINAL FUNDUS IMAGES BASED ON ADAPTIVE PRINCIPAL CURVATURE AND IMAGE DERIVATIVE OPERATORS |
| title_sort | blood vessels segmentation method for retinal fundus images based on adaptive principal curvature and image derivative operators |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W12/211/2019/isprs-archives-XLII-2-W12-211-2019.pdf |
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