A Microscope Image Auto-Focus Method Based on Colorful-Gradient

Po-Yi Li, Chia-Jen Liu, Cheng-Kuan Lin, Yu-Chee Tseng

2022

Abstract

Blood testing has always been an important indicator for judging patients’ states and various types of lesions. The typical way to observe the blood sample is by having medical personnel operate the conventional microscope and classify the white blood cells in a patient’s blood sample. However, such a long period of observation may cause visual fatigue. As a result, we built an automated microscope system to ensure the efficiency of the observation. In addition, focus measurement has always been a huge topic in the auto-focus method, which we implemented in the system. We proposed an automatic focus algorithm based on the gradient operator and colorfulness value to fit with the automated microscope system. The color-gradient operator is compared to conventional operators such as Laplacian-based, Wavelet-based, and DCT energy-based. By taking advantage of the three components in the color-gradient operator, the standard of determining a microscope image consists of both sharpness and colorfulness. The experimental results showed that the proposed microscope automatic focus algorithm is significantly stable in all real-life blood cell microscope image dataset scenarios. Such performance is discussed in specific situations that happened only in microscope auto-focus measurements.

Paper Citation

in Harvard Style

Li P., Liu C., Lin C. and Tseng Y. (2022). A Microscope Image Auto-Focus Method Based on Colorful-Gradient. In Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC; ISBN 978-989-758-622-4, SciTePress, pages 693-698. DOI: 10.5220/0012017800003612

in Bibtex Style

@conference{isaic22,
author={Po-Yi Li and Chia-Jen Liu and Cheng-Kuan Lin and Yu-Chee Tseng},
title={A Microscope Image Auto-Focus Method Based on Colorful-Gradient},
booktitle={Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC},
year={2022},
pages={693-698},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012017800003612},
isbn={978-989-758-622-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC
TI - A Microscope Image Auto-Focus Method Based on Colorful-Gradient
SN - 978-989-758-622-4
AU - Li P.
AU - Liu C.
AU - Lin C.
AU - Tseng Y.
PY - 2022
SP - 693
EP - 698
DO - 10.5220/0012017800003612
PB - SciTePress