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Automatic optic disc segmentation with peripapillary atrophy elimination
- Source :
- EMBC, Scopus-Elsevier
- Publication Year :
- 2011
- Publisher :
- IEEE, 2011.
-
Abstract
- Optic disc segmentation from retinal fundus image is a fundamental but important step for automatic glaucoma diagnosis. In this paper, an optic disc segmentation method is proposed based on peripapillary atrophy elimination. The elimination is done through edge filtering, constraint elliptical Hough transform and peripapillary atrophy detection. With the elimination, edges that are likely from non-disc structures especially peripapillary atrophy are excluded to make the segmentation more accurate. The proposed method has been tested in a database of 650 images with disc boundaries marked by trained professionals manually. The experimental results by the proposed method show average m(1), m(2) and m(VD) of 10.0%, 7.4% and 4.9% respectively. It can be used to compute cup to disc ratio as well as other features for application in automatic glaucoma diagnosis systems.
- Subjects :
- Diagnostic Imaging
Databases, Factual
genetic structures
Fundus Oculi
Computer science
Optic Disk
Glaucoma
Cup-to-disc ratio
Edge detection
Hough transform
law.invention
Automation
chemistry.chemical_compound
Optical imaging
law
Image Processing, Computer-Assisted
Optic disc segmentation
medicine
Humans
Segmentation
Computer vision
Diagnosis, Computer-Assisted
Peripapillary atrophy
Adaptive optics
Electronic Data Processing
Models, Statistical
business.industry
Reproducibility of Results
Retinal
Image segmentation
medicine.disease
Radiography
Optic Atrophy
chemistry
sense organs
Artificial intelligence
business
Algorithms
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
- Accession number :
- edsair.doi.dedup.....d6b4b9ae9f4f22b7ccc39185c7b6ac59