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- Title
A NEUTROSOPHIC APPROACH FOR GLAUCOMA DETECTION IN RETINAL IMAGES.
- Authors
JENNIFER, J. SOFIA; SHARMILA, T. SREE
- Abstract
In medical world, Glaucoma is a vision threatening retinal disease. This leads to the research scope of detecting glaucoma at early stages for better treatments. Manual approach for detection by ophthalmologists is tiresome and time-consuming, hence an image processing approach of determining the ratio of optic cup with respect to disc (CDR) is focused. This research work proposes a neutrosophic approach for segmentation by transforming the input retinal images to neutrosophic domain. In this neutrosophic approach, the intensity values are represented as truth, indeterminacy and falsity membership. Next, an intensification operation on the resultant images, followed by score function is done to result in a comprehensive outcome. Finally, the clustering technique IFCM is used for segmentation of the optic cup boundary and the optic disc. Experimental result analysis shows that the effectiveness of the proposed methodology is demonstrated since it provides unbiased results of average accuracy of 92.38% on DRISHTI-GS dataset and 91.67% on RIM-ONE dataset.
- Subjects
GLAUCOMA diagnosis; IMAGE segmentation; OPHTHALMOLOGISTS; IMAGE processing; ACCURACY
- Publication
Proceedings of the Romanian Academy, Series A: Mathematics, Physics, Technical Sciences, Information Science, 2022, Vol 23, Issue 4, p393
- ISSN
1454-9069
- Publication type
Article