Source:http://linkedlifedata.com/resource/pubmed/id/11700746
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
11
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pubmed:dateCreated |
2001-11-9
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pubmed:abstractText |
We report about the design and test of an image processing algorithm for the localization of the optic disk (OD) in low-resolution (about 20 micro/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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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Nov
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pubmed:issn |
0278-0062
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
20
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
1193-200
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pubmed:dateRevised |
2004-11-17
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pubmed:meshHeading |
pubmed-meshheading:11700746-Algorithms,
pubmed-meshheading:11700746-Humans,
pubmed-meshheading:11700746-Image Processing, Computer-Assisted,
pubmed-meshheading:11700746-Optic Disk,
pubmed-meshheading:11700746-Optic Nerve Diseases,
pubmed-meshheading:11700746-Reference Values,
pubmed-meshheading:11700746-Reproducibility of Results
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pubmed:year |
2001
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pubmed:articleTitle |
Fast and robust optic disc detection using pyramidal decomposition and Hausdorff-based template matching.
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pubmed:publicationType |
Letter,
Evaluation Studies
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