Implementation of Linear Structuring Element in OpenCV for Blood Vessel Segmentation from Color Fundus Images
| Autor: | Abhijeet Jha, Basant Kumar, Abhinav Adarsh, Rajeev Gupta, Ajitabh Kumar Srivastava, Shailesh Kumar |
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| Rok vydání: | 2019 |
| Předmět: |
genetic structures
business.industry Computer science Structuring element Fundus image 0206 medical engineering Glaucoma Vessel segmentation 02 engineering and technology Diabetic retinopathy Mathematical morphology Fundus (eye) medicine.disease 020601 biomedical engineering 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine medicine Computer vision Noise (video) Artificial intelligence business |
| Zdroj: | ICCCNT |
| Popis: | This paper presents an improved blood vessel segmentation technique from color fundus images using morphology operation. More accurate blood vessel segmentation from fundus images plays key role for screening of diabetic retinopathy and glaucoma. This paper has made significant contributions by developing linear structuring element for blood vessel detection using OpenCV. The proposed method involves three stages namely; pre-processing, generation of linear structuring element and detection of blood vessels from fundus image, In first stage, color fundus images are pre-processed or enhanced as these images often suffer from uneven illumination, low contrast and noise. In second stage, twelve linear structuring elements are generated and finally, in the third stage, blood vessel segmentation algorithm is applied to improve the extraction of diagnostic features such as microaneurysms and hemorrhages, leading to more accurate detection of diabetic retinopathy. |
| Databáze: | OpenAIRE |
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