3D Adaptive Histogram Equalization Method for Medical Volumes

Paulo Amorim, Thiago Moraes, Jorge Silva, Helio Pedrini

2018

Abstract

Medical imaging plays a fundamental role in the diagnosis and treatment of several diseases, enabling the visualization of internal organs and tissues for use in clinical procedures. The quality of medical images can be degraded by several factors, such as noise and poor contrast. The application of filtering and contrast enhancement techniques is usually necessary to improve the quality of images, which facilitates the segmentation and classification stages. In this paper, we develop and analyze a novel three-dimensional adaptive histogram equalization method for improving contrast in the context of medical imaging. Several data sets are used to demonstrate the effectiveness of the proposed approach.

Paper Citation

in Harvard Style

Amorim P., Moraes T., Silva J. and Pedrini H. (2018). 3D Adaptive Histogram Equalization Method for Medical Volumes. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP; ISBN 978-989-758-290-5, SciTePress, pages 363-370. DOI: 10.5220/0006615303630370

in Bibtex Style

@conference{visapp18,
author={Paulo Amorim and Thiago Moraes and Jorge Silva and Helio Pedrini},
title={3D Adaptive Histogram Equalization Method for Medical Volumes},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP},
year={2018},
pages={363-370},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006615303630370},
isbn={978-989-758-290-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 4: VISAPP
TI - 3D Adaptive Histogram Equalization Method for Medical Volumes
SN - 978-989-758-290-5
AU - Amorim P.
AU - Moraes T.
AU - Silva J.
AU - Pedrini H.
PY - 2018
SP - 363
EP - 370
DO - 10.5220/0006615303630370
PB - SciTePress