Detection of Glaucoma using Adaptive Neuro Fuzzy in DWT Domain
N. Ramamurthy1, KCT Swamy2, G. Ramarao3, Molla Riyaz Pasha4
1Dr. N. Ramamurthy, G. Pullaiah College of Engineering and Technology, Kurnool (Andhra Pradesh), India.
2Dr. KCT Swamy, G. Pullaiah College of Engineering and Technology, Kurnool (Andhra Pradesh), India.
3G. Ramarao, G. Pullaiah College of Engineering and Technology, Kurnool (Andhra Pradesh), India.
4Molla Riyaz Pasha, G. Pullaiah College of Engineering and Technology, Kurnool (Andhra Pradesh), India.
Manuscript received on 22 March 2019 | Revised Manuscript received on 03 April 2019 | Manuscript Published on 18 April 2019 | PP: 314-317 | Volume-7 Issue-6S March 2019 | Retrieval Number: F02610376S19/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Glaucoma is that the second leading reason for loss of vision within the world. Examining the pinnacle of the ratio of cup to disc is extremely vital for eye disease diagnosis. This research work provides segmentation technique to calculate the disc and cup geometrical parameters mechanically and accurately. These techniques facilitate professionals with designation and observation eye disease by providing them with clear and correct information concerning the optic nerve head structure. The individuality of this paper is in demonstrating the segmentation methodology by using adaptive neuro fuzzy algorithms for th segmentation.
Keywords: Optic Cup, Glaucoma, Optic Disc, Optic Nerve Head, Ratio of Cup to Disc and Adaptive Neuro Fuzzy.
Scope of the Article: Fuzzy Logics