Earticle

초록

영어

Glaucoma which is a leading cause of blindness in the world is not a single disease but a group of disorders with diverse clinical manifestations. If not controlled at an early stage, it causes irreversible damage to vision. Careful evaluation of Optic nerve head structure and its documentation is extremely important for diagnosis of the disease and to monitor its progression. The optic nerve head comprises of the optic disc and the optic cup. ‘Optic cup’ is one of the imperative and crucial factors in disease diagnosis and monitoring. The aim of the research is to compare various existing optic cup segmentation methods and report their comparative performance. A modification in calculating threshold has been suggested which improves the accuracy.

목차

Abstract
 1. Introduction
 2. Methodology
  2.1. Method 1: Binary Thresholding and Entropy filtering
  2.2. Method 2: Elimination of Blood Vessels
  2.3. Method 3: Lab Color Space and K Means Clustering
  2.4. Method 4: Addition of Dilated and Original Image
  2.5. Method 5: Proposed Method
 3. Extraction of OC Boundary
 4. Experimentation and Results
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Medha V. Wyawahare [ Vishwakarma Institute of Technology, Bibwewadi, Pune, India ]
• Dr. Pradeep M. Patil [ RMD Sinhgad Technical Institutes’ Campus, Warje, Pune, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605