Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/85679
Author(s): | Behdad Dashtbozorg Ana Maria Mendonça Aurélio Campilho |
Title: | An automatic graph-based method for retinal blood vessel classification |
Issue Date: | 2012 |
Abstract: | In this paper, we present an automatic approach to classify retinal vessels into artery and vein classes by analyzing the extracted graph from the vasculature tree and deciding on the type of intersection points (bifurcation, crossing or meeting points). The results obtained by the proposed method were compared with manual classification on 40 images of the INSPIRE-AVR dataset. |
URI: | https://hdl.handle.net/10216/85679 |
Source: | Atas do RecPad 2012 |
Document Type: | Artigo em Livro de Atas de Conferência Nacional |
Rights: | openAccess |
License: | https://creativecommons.org/licenses/by-nc/4.0/ |
Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Nacional |
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File | Description | Size | Format | |
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149283.pdf | 140.01 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License