Active Contours Techniques for Automatic Detection of Glaucoma
N.Anil Kumar1, M. Satya Anuradha2, Prakash.SSVD.Vepa3, Ravuri Daniel4
1Mr. Neelapala Anil Kumar, Department of E.C.E, Vignan’s Institute of Information Technology, Visakhapatnam (A.P), India.
2Mrs. M. Satya Anuradha, Department of E.C.E, A.U. College of Engineering, Visakhapatnam (A.P), India.
3Mr. Prakash.S.S.V.D. Vepa, Department of Mathematics, Vignan’s Institute of Information Technology, Visakhapatnam (A.P), India.
Mr. Ravuri Daniel, Department of I.T, Vignan’s Institute of Information Technology, Visakhapatnam (A.P), India.
Manuscript received on 18 October 2012 | Revised Manuscript received on 25 October 2012 | Manuscript published on 30 October 2012 | PP: 29-31 | Volume-1 Issue-4, October 2012 | Retrieval Number: D0321091412/2012©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: The inadequate fluid flow between the iris and cornea of eye leads to glaucoma. The important technique to asses patients effected with glaucoma is analyzed by ultra sound images of the eye, For the detection of the structural changes an algorithm is proposed to focus on automatic detection and determining the exact location of the apex point of the anterior chamber region for efficient angle calculation from the various live ultra sound images. It is very important to detect glaucoma in its early stages for diagnosis and hence this algorithm addresses the importance of precise results with effective immunity towards speckle noise.
Keywords: Active Contours, Angle Calculation, AOD-500 (Angle open distance), Apex Point Determination, Masking, UBM (Ultrasound bio-microscopy)
Scope of the Article: Software Engineering Techniques