Automated detection of hard exudates in retinal fundus images for diabetic retinopathy screening using textural-based radon transform and morphology reconstruction
Background: Diabetic retinopathy (DR) screening requires accurate detection of hard exudates (HEs) in retinal images. This study presents a novel method that integrates textural-based Radon transform (RT) with morphological image processing techniques to automate the detection and segmentation of HE...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Biomedical Engineering Advances |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667099225000362 |
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