Hybridized Approach for Prepossessing Stage Design for Lungs CT Images

Sheenam Middha, Bobbinpreet Kaur

2025

Abstract

This paper presents a hybrid denoising technique that utilizes the combination of top-hat and bottom-hat morphological transformations. The scheme effectively solves the problems of uneven illumination and background noise while preserving the quality of the content in the document. By combining the top-hat transformation (which enhances the bright features in the background) and the bottom-hat transformation (which emphasizes the dark features against the lighter ones in the background), the model complements the noise level and improves the contrast. Experimental validation of [specific data, e.g. medical images, satellite data] shows significant improvements in denoising, optimization, and performance compared to traditional methods. Hybrid top and bottom hat models are a promising solution for applications requiring efficient and noise-resistant preprocessing.

Paper Citation

in Harvard Style

Middha S. and Kaur B. (2025). Hybridized Approach for Prepossessing Stage Design for Lungs CT Images. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 472-477. DOI: 10.5220/0013594800004664

in Bibtex Style

@conference{incoft25,
author={Sheenam Middha and Bobbinpreet Kaur},
title={Hybridized Approach for Prepossessing Stage Design for Lungs CT Images},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT},
year={2025},
pages={472-477},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013594800004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT
TI - Hybridized Approach for Prepossessing Stage Design for Lungs CT Images
SN - 978-989-758-763-4
AU - Middha S.
AU - Kaur B.
PY - 2025
SP - 472
EP - 477
DO - 10.5220/0013594800004664
PB - SciTePress