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Authors: Pedro Pereira 1 ; Luis Tavora 2 ; Rui Fonseca-Pinto 2 ; Rui Paiva 3 ; Pedro Assuncao 4 and Sergio M. de Faria 4

Affiliations: 1 Instituto de Telecomunicaç ões, Portugal, DEI - FCTUC, University of Coimbra, Portugal ; 2 ESTG, Polytechnic Institute of Leiria, Portugal ; 3 DEI - FCTUC, University of Coimbra, Portugal, CISUC, Department of Informatics Engineering, University of Coimbra, Portugal ; 4 Instituto de Telecomunicaç ões, Portugal, ESTG, Polytechnic Institute of Leiria, Portugal

ISBN: 978-989-758-353-7

Keyword(s): Segmentation, Skin Lesion Detection, Medical Imaging, Dermoscopy.

Related Ontology Subjects/Areas/Topics: Bioimaging ; Biomedical Engineering ; Image Processing Methods ; Medical Imaging and Diagnosis

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.

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Paper citation in several formats:
Pereira, P.; Tavora, L.; Fonseca-Pinto, R.; Paiva, R.; 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 - Volume 2 BIOIMAGING: BIOIMAGING, ISBN 978-989-758-353-7, pages 84-91. DOI: 10.5220/0007354100840091

@conference{bioimaging19,
author={Pedro M. M. Pereira. and Luis M. N. Tavora. and Rui Fonseca{-}Pinto. and Paiva, R. 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 - Volume 2 BIOIMAGING: BIOIMAGING,},
year={2019},
pages={84-91},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007354100840091},
isbn={978-989-758-353-7},
}

TY - CONF

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

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