Abstract
Object detection in microscopy image is essential for further analysis in many applications. However, images are not always easy to analyze due to uneven illumination and noise. In addition, objects may appear merged together with debris. This work presents a method for detecting rice root knot nematodes in microscopy images. The problem involves four subproblems which are dealt with separately. The uneven illumination is corrected via polynomial fitting. The nematodes are then highlighted using mathematical morphology. A binary image is obtained and the microscope lines are removed. Finally, the detected nematodes are counted after thresholding the non-nematode particles. The results obtained from the performed tests show that this is a reliable and effective method when compared to manual counting.
Original language | English |
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Title of host publication | BIOIMAGING 2015 - 2nd International Conference on Bioimaging, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015 |
Editors | Mario Forjaz Secca, Jan Schier, Ana Fred, Hugo Gamboa, Dirk Elias |
Publisher | SciTePress |
Pages | 76-81 |
Number of pages | 6 |
ISBN (Print) | 9789897580727, 9897580727 |
DOIs | |
Publication status | Published - 2015 |
Event | 2nd International Conference on Bioimaging, BIOIMAGING 2015 - Lisbon, Portugal Duration: 12 Jan 2015 → 15 Jan 2015 |
Conference
Conference | 2nd International Conference on Bioimaging, BIOIMAGING 2015 |
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Country/Territory | Portugal |
City | Lisbon |
Period | 12 Jan 2015 → 15 Jan 2015 |
Keywords
- Illumination correction
- Mathematical morphology
- Root knot nematodes
- Thining
- Vessel-like detection