Earticle

초록

영어

Glaucoma is an eye disease which damages the optic nerve that carries information from the eye to the brain. Glaucoma is the second foremost reason of blindness. An efficient hardware based implementation of glaucoma screening is a significant task in the automated retinal image analysis method. This paper presents an automatic glaucoma screening using a TMS320C6416DSK DSP board. The detection procedure consists of two stages. The first stage comprises of image pre-processing and detection of optic nerve head center using circular Hough Transform .In the second stage, the optic disk diameter is calculated and cup is segmented from disk. The proposition between disk and cup is calculated for abnormal image screening. The implemented technique is tested on a publicly available retinal image data sets and the average accuracy achieved is 97.5%.

목차

Abstract
 1. Introduction
 2. Proposed Method
 3. Pre-Processing and Optic Disk Segmentation
 4. Circular Hough Transform (CHT)
 5. Optic Cup to Disk Ratio Calculation (CDR)
 6. Experimental Setup and Implementation
 7. Results
 8. Conculsion
 Acknowledgements
 References

키워드

저자

• Srinivasan Aruchamy [ CSIR-CMERI, National Institute of Technology ]
• Partha Bhattacharjee [ CSIR-CMERI, National Institute of Technology ]
• Goutam Sanyal [ CSIR-CMERI, National Institute of Technology ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605