Azegrouz et al., 2006 - Google Patents
Max-min central vein detection in retinal fundus imagesAzegrouz et al., 2006
View PDF- Document ID
- 3243154906984826910
- Author
- Azegrouz H
- Trucco E
- Publication year
- Publication venue
- 2006 International Conference on Image Processing
External Links
Snippet
This paper describes a new framework for the automated tracking of the central retinal vein in retinal images. The procedure first computes a binary image of the retinal vasculature, then obtains the skeleton (medial axis) of the vascular network. Terminal and branching …
- 210000003462 Veins 0 title abstract description 28
Classifications
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- G06T2207/30004—Biomedical image processing
- G06T2207/30101—Blood vessel; Artery; Vein; Vascular
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- G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
- G06K9/4638—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by analysing connectivity relationships of elements of the pattern, e.g. by edge linking, by connected component or neighbouring slice analysis, by Markov Random Field [MRF] analysis
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