Blood vessels extraction using Fuzzy Mathematical Morphology
| Autor: | Daniel Oliveira Dantas, Helton Danilo Passos Leal, Diego de Souza Oliveira |
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| Rok vydání: | 2017 |
| Předmět: |
Fuzzy mathematical morphology
business.industry Computer science Pipeline (computing) 0206 medical engineering Extraction (chemistry) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology Iterative reconstruction Retinography 020601 biomedical engineering Grayscale 030218 nuclear medicine & medical imaging 03 medical and health sciences ComputingMethodologies_PATTERNRECOGNITION 0302 clinical medicine medicine.anatomical_structure medicine Computer vision Artificial intelligence business Blood vessel |
| Zdroj: | ICASSP |
| Popis: | Blood vessel extraction from retinography images is useful for detection of many retinopathies. In this paper we propose a way to improve blood vessel detection by use of Fuzzy Mathematical Morphology (FMM) operators. The proposed pipeline, although simple, was found to have the highest accuracy on the STARE dataset, and second highest on the DRIVE dataset. We also present a parallel implementation of the FMM operators, in OpenCL, up to about 500 times faster than their counterpart in C++. |
| Databáze: | OpenAIRE |
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