| Autor: |
Lebaka, Sivaprasad, Sreelatha, Tammineni, Reddy, K. Venkatramana |
| Předmět: |
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| Zdroj: |
Indian Journal of Public Health Research & Development; Oct2018, Vol. 9 Issue 10, p1076-1079, 4p |
| Abstrakt: |
The most dangerous cause that occurs blindness is glaucoma; the aging society is mostly affected by this defect. It causes due to the increase of pressure in the optic nerve, and it causes more damage to the optic nerve. The accurate and efficient glaucoma classification can be pursued by the texture features in the images. The texture feature extraction around the optic cup shows the precise results for the identification and classification of glaucoma. From the texture feature extraction, the Support Vector Machine (SVM) classifier used to classify the result. The high level accuracy on different images is done by the classification method. The results show the accuracy of this method. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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