Improved Accuracy of Stomata Micrograph Classification Using YOLOv11 with Gamma Correction and CLAHE

Yusri Simang, Indrabayu, Siti Andini Utiarahman

2025

Abstract

This study aims to improve the accuracy of stomata classification in micrograph images through the You Only Look Once version 11 (YOLOv11) algorithm combined with Gamma Correction and Contrast Limited Adaptive Histogram Equalization (CLAHE) as preprocessing techniques. Microscopic images often suffer from uneven illumination and weak contrast, which hinder automatic stomata detection. Gamma Correction adjusts image brightness non-linearly, while CLAHE enhances local contrast without amplifying noise. Stomata images were captured using a binocular microscope, annotated based on morphology, and divided into training, validation, and test sets for model development. Experimental results show that preprocessing improves YOLOv11 performance, with precision increasing from 0.93 to 0.94, recall from 0.91 to 0.92, and mean Average Precision (mAP) at 50% intersection over union from 0.95 to 0.96. For the Graminoid class, precision increased from 0.84 to 0.86, recall from 0.88 to 0.89, and mAP@50 from 0.82 to 0.83. The Peak Signal-to-Noise Ratio (PSNR) also improved from 27.9–28.35 dB to 28.44–29.40 dB, indicating better image quality. These results demonstrate that the integration of Gamma Correction and CLAHE effectively enhances image clarity and improves stomata detection performance, supporting more reliable and efficient automation in botanical analysis.

Paper Citation

in Harvard Style

Simang Y., Indrabayu. and Utiarahman S. (2025). Improved Accuracy of Stomata Micrograph Classification Using YOLOv11 with Gamma Correction and CLAHE. In Proceedings of the 1st International Conference on Research and Innovations in Information and Engineering Technology - Volume 1: RITECH; ISBN 978-989-758-784-9, SciTePress, pages 68-75. DOI: 10.5220/0014275100004928

in Bibtex Style

@conference{ritech25,
author={Yusri Simang and Indrabayu and Siti Andini Utiarahman},
title={Improved Accuracy of Stomata Micrograph Classification Using YOLOv11 with Gamma Correction and CLAHE},
booktitle={Proceedings of the 1st International Conference on Research and Innovations in Information and Engineering Technology - Volume 1: RITECH},
year={2025},
pages={68-75},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014275100004928},
isbn={978-989-758-784-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Innovations in Information and Engineering Technology - Volume 1: RITECH
TI - Improved Accuracy of Stomata Micrograph Classification Using YOLOv11 with Gamma Correction and CLAHE
SN - 978-989-758-784-9
AU - Simang Y.
AU - Indrabayu.
AU - Utiarahman S.
PY - 2025
SP - 68
EP - 75
DO - 10.5220/0014275100004928
PB - SciTePress