Small retinal vessels extraction towards proliferative diabetic retinopathy screening
| Autor: | Vivek Krishna Nagarajan, Chandan Chakraborty, Girish Singh Ramlugun |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Ground truth
business.industry Computer science General Engineering Retinal Diabetic retinopathy Fundus (eye) medicine.disease Thresholding Computer Science Applications chemistry.chemical_compound Gabor filter chemistry Artificial Intelligence cardiovascular system medicine Segmentation Computer vision Adaptive histogram equalization Artificial intelligence business |
| Zdroj: | Expert Systems with Applications. 39:1141-1146 |
| ISSN: | 0957-4174 |
| DOI: | 10.1016/j.eswa.2011.07.115 |
| Popis: | This paper introduces a systematic approach for segmentation of retinal blood vessels towards the diagnosis of proliferative diabetic retinopathy (PDR) from digital fundus images. Here, 2D-Match (Gabor) filters are used on digital fundus images in which the vessels are enhanced by contrast-limited adaptive histogram equalization (CLAHE). A double sided thresholding scheme is then used to segment the vessels. Hysteresis thresholding is performed with the large and small vessels clipped at different intensity levels in order to reconstruct the vessels in the image. This vessel extraction technique leads to high accuracy (93.1%) in comparison with the ground truth images provided in the DRIVE database. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect