An improved matched filter for blood vessel detection of digital retinal images
| Autor: | Mohammed Al-Rawi, Mohammed Arrar, Munib Qutaishat |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
business.industry
Computer science Threshold limit value Matched filter ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Retinal Vessels Health Informatics Retinal Computer Science Applications chemistry.chemical_compound Digital image medicine.anatomical_structure chemistry Filter (video) medicine Database Management Systems Humans Computer vision Artificial intelligence business Blood vessel |
| Zdroj: | Computers in biology and medicine. 37(2) |
| ISSN: | 0010-4825 |
| Popis: | The matched filter has been widely used in the detection of blood vessels of the human retina digital image. In this paper, the matched filter response to the detection of blood vessels is increased by proposing better filter parameters. These filter parameters are found by using an optimization procedure on 20 retina images of the DRIVE database. Comparisons with other approaches show that the matched filter that uses the newly found parameters outperforms the matched filter that uses the classical filter parameters as well as some vessel detection techniques. A technique is also discussed to find the best threshold value for the continuous matched filter output image and hence the best segmented vessel image. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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