Detection of Root Knot Nematodes in Microscopy Images

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

2015

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.

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Paper Citation


in Harvard Style

AL-Tam F., dos Anjos A., Bellafiore S. and Shahbazkia H. (2015). Detection of Root Knot Nematodes in Microscopy Images . In Proceedings of the International Conference on Bioimaging - Volume 1: BIOIMAGING, (BIOSTEC 2015) ISBN 978-989-758-072-7, pages 76-81. DOI: 10.5220/0005209000760081


in Bibtex Style

@conference{bioimaging15,
author={Faroq AL-Tam and António dos Anjos and Stephane Bellafiore and Hamid Reza Shahbazkia},
title={Detection of Root Knot Nematodes in Microscopy Images},
booktitle={Proceedings of the International Conference on Bioimaging - Volume 1: BIOIMAGING, (BIOSTEC 2015)},
year={2015},
pages={76-81},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005209000760081},
isbn={978-989-758-072-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bioimaging - Volume 1: BIOIMAGING, (BIOSTEC 2015)
TI - Detection of Root Knot Nematodes in Microscopy Images
SN - 978-989-758-072-7
AU - AL-Tam F.
AU - dos Anjos A.
AU - Bellafiore S.
AU - Shahbazkia H.
PY - 2015
SP - 76
EP - 81
DO - 10.5220/0005209000760081