Preprocessing digital retinal images for vessel segmentation
The information contained in the retinal vasculature is used to diagnose the onset of retinal diseases such as diabetic retinopathy. However, due to non-uniform illumination and variations in imaging modalities, the contrast between the retinal blood vessels network and the background is very low, e...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Maxwell Scientific Publication
2017
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| Online Access: | http://eprints.utm.my/80462/1/NurulEmaanAmeen2017_PreprocessingDigitalRetinalImagesforVessel.pdf |
| _version_ | 1796863193645056000 |
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| author | Tan, Tian-Swee Ameen, Nurul Emaan Wan Hitam, Wan Hazabah Hum, Yan-Chai Teoh, Chong-Keat |
| author_facet | Tan, Tian-Swee Ameen, Nurul Emaan Wan Hitam, Wan Hazabah Hum, Yan-Chai Teoh, Chong-Keat |
| author_sort | Tan, Tian-Swee |
| collection | ePrints |
| description | The information contained in the retinal vasculature is used to diagnose the onset of retinal diseases such as diabetic retinopathy. However, due to non-uniform illumination and variations in imaging modalities, the contrast between the retinal blood vessels network and the background is very low, encumbering the analysis and the diagnosis processes. This prompts the need for preprocessing digital fundus images to remove noise and improve contrast thus increasing the segmentation accuracy of the retinal vasculature. In this study, we address issues of nonuniform illumination and low contrast by developing a framework that implements shade correction, image enhancement and prepares the digital fundus images for the next stage. |
| first_indexed | 2024-03-05T20:23:05Z |
| format | Article |
| id | utm.eprints-80462 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T20:23:05Z |
| publishDate | 2017 |
| publisher | Maxwell Scientific Publication |
| record_format | dspace |
| spelling | utm.eprints-804622019-05-22T06:45:16Z http://eprints.utm.my/80462/ Preprocessing digital retinal images for vessel segmentation Tan, Tian-Swee Ameen, Nurul Emaan Wan Hitam, Wan Hazabah Hum, Yan-Chai Teoh, Chong-Keat QH301 Biology The information contained in the retinal vasculature is used to diagnose the onset of retinal diseases such as diabetic retinopathy. However, due to non-uniform illumination and variations in imaging modalities, the contrast between the retinal blood vessels network and the background is very low, encumbering the analysis and the diagnosis processes. This prompts the need for preprocessing digital fundus images to remove noise and improve contrast thus increasing the segmentation accuracy of the retinal vasculature. In this study, we address issues of nonuniform illumination and low contrast by developing a framework that implements shade correction, image enhancement and prepares the digital fundus images for the next stage. Maxwell Scientific Publication 2017 Article PeerReviewed application/pdf en http://eprints.utm.my/80462/1/NurulEmaanAmeen2017_PreprocessingDigitalRetinalImagesforVessel.pdf Tan, Tian-Swee and Ameen, Nurul Emaan and Wan Hitam, Wan Hazabah and Hum, Yan-Chai and Teoh, Chong-Keat (2017) Preprocessing digital retinal images for vessel segmentation. Research Journal of Applied Sciences, Engineering and Technology, 14 (1). pp. 1-6. ISSN 2040-7459 https://dx.doi.org/10.19026/rjaset.14.3982 DOI:10.19026/rjaset.14.3982 |
| spellingShingle | QH301 Biology Tan, Tian-Swee Ameen, Nurul Emaan Wan Hitam, Wan Hazabah Hum, Yan-Chai Teoh, Chong-Keat Preprocessing digital retinal images for vessel segmentation |
| title | Preprocessing digital retinal images for vessel segmentation |
| title_full | Preprocessing digital retinal images for vessel segmentation |
| title_fullStr | Preprocessing digital retinal images for vessel segmentation |
| title_full_unstemmed | Preprocessing digital retinal images for vessel segmentation |
| title_short | Preprocessing digital retinal images for vessel segmentation |
| title_sort | preprocessing digital retinal images for vessel segmentation |
| topic | QH301 Biology |
| url | http://eprints.utm.my/80462/1/NurulEmaanAmeen2017_PreprocessingDigitalRetinalImagesforVessel.pdf |
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