| Autor: |
Maíla de Lima Claro, Leonardo de Moura Santos, Wallinson Lima e Silva, Flávio Henrique Duarte de Araújo, Nayara Holanda de Moura, André Macedo Santana |
| Jazyk: |
angličtina |
| Rok vydání: |
2016 |
| Předmět: |
|
| Zdroj: |
CLEI Electronic Journal, Vol 19, Iss 2 (2016) |
| Druh dokumentu: |
article |
| ISSN: |
0717-5000 |
| DOI: |
10.19153/cleiej.19.2.4 |
| Popis: |
The use of digital image processing techniques is prominent in medical settings for the automatic diagnosis of diseases. Glaucoma is the second leading cause of blindness in the world and it has no cure. Currently, there are treatments to prevent vision loss, but the disease must be detected in the early stages. Thus, the objective of this work is to develop an automatic detection method of Glaucoma in retinal images. The methodology used in the study were: acquisition of image database, Optic Disc segmentation, texture feature extraction in different color models and classiffication of images in glaucomatous or not. We obtained results of 93% accuracy. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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