Fast and robust optic disc detection using pyramidal decomposition and Hausdorff-based template matching

Reports on the design and test of an image processing algorithm for the localization of the optic disk (OD) in low-resolution (about 20 /spl mu//pixel) color fundus images. The design relies on the combination of two procedures: 1) a Hausdorff-based template matching technique on edge map, guided by...

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Bibliographic Details
Published inIEEE transactions on medical imaging Vol. 20; no. 11; pp. 1193 - 1200
Main Authors Lalonde, M., Beaulieu, M., Gagnon, L.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.11.2001
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithm design and analysis
Algorithms
Biological and medical sciences
Color
Feature extraction
Hough transforms
Humans
Image databases
Image processing
Image Processing, Computer-Assisted
Image quality
Investigative techniques, diagnostic techniques (general aspects)
Large-scale systems
Medical sciences
Ophthalmology
Optic Disk - anatomy & histology
Optic Disk - blood supply
Optic Nerve Diseases - diagnosis
Optical design
Optical detectors
Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques
Pixel
Reference Values
Reproducibility of Results
Robustness
Testing
Human
Eye
Hausdorff dimension
Sensitivity
Rapid technique
Image processing
Ophthalmoscopy
Diagnosis
Optic papilla
Comparative study
Automatic processing
Online AccessGet full text
ISSN0278-0062
1558-254X
DOI10.1109/42.963823

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Summary:Reports on the design and test of an image processing algorithm for the localization of the optic disk (OD) in low-resolution (about 20 /spl mu//pixel) color fundus images. The design relies on the combination of two procedures: 1) a Hausdorff-based template matching technique on edge map, guided by 2) a pyramidal decomposition for large scale object tracking. The two approaches are tested against a database of 40 images of various visual quality and retinal pigmentation, as well as of normal and small pupils. An average error of 7% on OD center positioning is reached with no false detection. In addition, a confidence level is associated to the final detection that indicates the "level of difficulty" the detector has to identify the OD position and shape.
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ISSN:0278-0062
1558-254X
DOI:10.1109/42.963823