Detection of root knot nematodes in microscopy images

Faroq AL-Tam, António dos Anjos, Stephane Bellafiore, Hamid Reza Shahbazkia

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)

2 Dyfyniadau(SciVal)


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.

Iaith wreiddiolSaesneg
TeitlBIOIMAGING 2015 - 2nd International Conference on Bioimaging, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015
GolygyddionMario Forjaz Secca, Jan Schier, Ana Fred, Hugo Gamboa, Dirk Elias
Nifer y tudalennau6
ISBN (Argraffiad)9789897580727, 9897580727
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 2015
Digwyddiad2nd International Conference on Bioimaging, BIOIMAGING 2015 - Lisbon, Portiwgal
Hyd: 12 Ion 201515 Ion 2015


Cynhadledd2nd International Conference on Bioimaging, BIOIMAGING 2015
Cyfnod12 Ion 201515 Ion 2015

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