Unsupervised Segmentation of Leukocytes Images using Particle Swarm

Jocival Dantas Dias Júnior, André R. Backes

2021

Abstract

Blood smear image analysis is an essential task for many health related issues. Among the many blood structures present in these images, leukocytes play an important role in the detection of many diseases (such as leukemias), which can be detected by the amount, or abnormal aspect, of the leukocytes. To address this problem, this paper presents an unsupervised segmentation method for the nuclear structures in leukocytes. Our method uses color deconvolution to separate the dyes in different channels and a PSO algorithm to estimate an optimal kernel filter to combine local features in different stain channels to emphasize the leukocytes structures so that simple thresholding techniques are able to perform image segmentation. We also used a postprocessing approach based on morphological operators to refine the border of detected structures, thus improving our performance. We performed a comparison with different approaches found in literature using 367 images containing leukocytes and other blood structures and results demonstrated the superiority of our approach in terms of Jaccard index.

Paper Citation

in Harvard Style

Dias Júnior J. and Backes A. (2021). Unsupervised Segmentation of Leukocytes Images using Particle Swarm. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP; ISBN 978-989-758-488-6, SciTePress, pages 439-446. DOI: 10.5220/0010309404390446

in Bibtex Style

@conference{visapp21,
author={Jocival Dantas Dias Júnior and André R. Backes},
title={Unsupervised Segmentation of Leukocytes Images using Particle Swarm},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP},
year={2021},
pages={439-446},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010309404390446},
isbn={978-989-758-488-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP
TI - Unsupervised Segmentation of Leukocytes Images using Particle Swarm
SN - 978-989-758-488-6
AU - Dias Júnior J.
AU - Backes A.
PY - 2021
SP - 439
EP - 446
DO - 10.5220/0010309404390446
PB - SciTePress