Comparison of Superpixel and Correlation Based Segmentation for Improved WBC Segmentation in Microscopic Images

Rayala Ramanjaneyulu, V. Rajmohan

2023

Abstract

The objective of this investigation is to refine the precision of segmentation for white blood cells (WBCs) by employing an innovative superpixel algorithm. Additionally, the efficacy of this innovative approach will be evaluated by comparing it to the correlation-based segmentation technique. Methods and Materials: The specimens were examined using the new Superpixel Algorithm as group 1, encompassing N=10 samples, while adopting the Correlation-based method as group 2 segmentation, also comprising N=10 samples. A preliminary test power of 80%, alongside alpha and beta values of 0.05 and 0.2, respectively, were assumed, along with a 95% confidence interval. The analysis was conducted using the MATLAB software. Results: The novel Superpixel Algorithm demonstrated an accuracy of 87% in segmenting white blood cells, whereas the Correlation-based segmentation achieved 74% accuracy. A statistically significant p-value of 0.001 (p < 0.05, two-tailed), determined through SPSS statistical analysis, indicates a substantial disparity in the segmentation data. This difference affirms the absence of errors in the acquired data. Conclusion: The Superpixel method surpasses the correlation-based segmentation approach in terms of enhancing the accuracy of white blood cell segmentation.

Paper Citation

in Harvard Style

Ramanjaneyulu R. and Rajmohan V. (2023). Comparison of Superpixel and Correlation Based Segmentation for Improved WBC Segmentation in Microscopic Images. In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 31-36. DOI: 10.5220/0012543100003739

in Bibtex Style

@conference{ai4iot23,
author={Rayala Ramanjaneyulu and V. Rajmohan},
title={Comparison of Superpixel and Correlation Based Segmentation for Improved WBC Segmentation in Microscopic Images},
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={31-36},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012543100003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - Comparison of Superpixel and Correlation Based Segmentation for Improved WBC Segmentation in Microscopic Images
SN - 978-989-758-661-3
AU - Ramanjaneyulu R.
AU - Rajmohan V.
PY - 2023
SP - 31
EP - 36
DO - 10.5220/0012543100003739
PB - SciTePress