Image Segmentation using Gradient-based Histogram Thresholding for Skin Lesion Delineation

Pedro A. A. Assuncao, Pedro M. M. Pereira, Luis M. N. Tavora, Rui Pedro Paiva, Rui Pedro Paiva, Rui Pedro Paiva, Pedro A. A. Assuncao, Pedro M. M. Pereira, Sergio M. M. de Faria, Sergio M. M. de Faria

2019

Abstract

Image segmentation is a key stage in medical image processing algorithms and machine learning classifiers where identification of discriminative features are of utmost importance. In the case of skin lesions, most of the existing image segmentation approaches aim at minimising some error metric between computed and ground-truth regions of interest (ROI) defined by medical experts, where ROI delineation is not always considered. This paper proposes an image segmentation method for skin lesion delineation, which expands traditional histogram and clustering-based approaches to achieve the best trade-off between both. The proposed method is capable of providing accurate details of the skin lesion borders, without deviating from the coarser borders of the available ground-truth.

Paper Citation

in Harvard Style

Pereira P., Pereira P., Tavora L., Fonseca-Pinto R., Paiva R., Assuncao P., Assuncao P. and M. de Faria S. (2019). Image Segmentation using Gradient-based Histogram Thresholding for Skin Lesion Delineation. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 2: BIOIMAGING; ISBN 978-989-758-353-7, SciTePress, pages 84-91. DOI: 10.5220/0007354100840091

in Bibtex Style

@conference{bioimaging19,
author={Pedro M. M. Pereira and Pedro A. A. Pereira and Luis M. N. Tavora and Rui Pedro Fonseca-Pinto and Rui Pedro Paiva and Pedro M. M. Assuncao and Pedro A. A. Assuncao and Sergio M. M. de Faria},
title={Image Segmentation using Gradient-based Histogram Thresholding for Skin Lesion Delineation},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 2: BIOIMAGING},
year={2019},
pages={84-91},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007354100840091},
isbn={978-989-758-353-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 2: BIOIMAGING
TI - Image Segmentation using Gradient-based Histogram Thresholding for Skin Lesion Delineation
SN - 978-989-758-353-7
AU - Pereira P.
AU - Pereira P.
AU - Tavora L.
AU - Fonseca-Pinto R.
AU - Paiva R.
AU - Assuncao P.
AU - Assuncao P.
AU - M. de Faria S.
PY - 2019
SP - 84
EP - 91
DO - 10.5220/0007354100840091
PB - SciTePress