Software tool for contrast enhancement and segmentation of melanoma images based on human perception

In this paper we present a software tool for melanoma border detection (MBD). It has been designed to be incorporated in any Computer Aided Diagnosis Tool (CAD) for early detection of melanoma in mass screening programs. The tool is completely automatic, posses a user-friendly interface and does not...

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Detalhes bibliográficos
Autores: Fondón García, Irene, Abbas, Qaisar, Celebi, M. Emre, Ahmad, Waqar, Mushtaq, Qaisar
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2013
País:España
Recursos:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/26530
Acesso em linha:http://hdl.handle.net/11441/26530
Access Level:acceso abierto
Palavra-chave:Software tool
skin cancer
melanoma border detection
dermoscopy
contrast enhancement
hill-climbing
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spelling Software tool for contrast enhancement and segmentation of melanoma images based on human perceptionFondón García, IreneAbbas, QaisarCelebi, M. EmreAhmad, WaqarMushtaq, QaisarSoftware toolskin cancermelanoma border detectiondermoscopycontrast enhancementhill-climbingIn this paper we present a software tool for melanoma border detection (MBD). It has been designed to be incorporated in any Computer Aided Diagnosis Tool (CAD) for early detection of melanoma in mass screening programs. The tool is completely automatic, posses a user-friendly interface and does not require any specific hardware. The main steps followed by the implemented algorithm are: uneven illumination correction, color contrast improvement and color image segmentation. All of them are performed in the uniform color space CIE L * a * b * in order to achieve a complete adaptation to human color perception. The program is able to provide not only the final obtained segmentation result but also intermediate graphical outcomes, guiding the user in the process of melanoma detection. This simple, friendly but powerful interface can serve as a support for the medical personnel in the melanoma diagnostic process. The MBD software and some samples of the dermoscopy images used can be downloaded at http://cs.ntu. edu.pk/research.php.Universidad de SevillaTeoría de la Señal y Comunicaciones2013info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/11441/26530reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésImage-A : Applicable Mathematics in Image Engineering, 3 (6), 45-48http://institucional.us.es/revistas/imagen_a/6/art_5.pdfinfo:eu-repo/semantics/openAccessoai:idus.us.es:11441/265302026-06-17T12:51:07Z
dc.title.none.fl_str_mv Software tool for contrast enhancement and segmentation of melanoma images based on human perception
title Software tool for contrast enhancement and segmentation of melanoma images based on human perception
spellingShingle Software tool for contrast enhancement and segmentation of melanoma images based on human perception
Fondón García, Irene
Software tool
skin cancer
melanoma border detection
dermoscopy
contrast enhancement
hill-climbing
title_short Software tool for contrast enhancement and segmentation of melanoma images based on human perception
title_full Software tool for contrast enhancement and segmentation of melanoma images based on human perception
title_fullStr Software tool for contrast enhancement and segmentation of melanoma images based on human perception
title_full_unstemmed Software tool for contrast enhancement and segmentation of melanoma images based on human perception
title_sort Software tool for contrast enhancement and segmentation of melanoma images based on human perception
dc.creator.none.fl_str_mv Fondón García, Irene
Abbas, Qaisar
Celebi, M. Emre
Ahmad, Waqar
Mushtaq, Qaisar
author Fondón García, Irene
author_facet Fondón García, Irene
Abbas, Qaisar
Celebi, M. Emre
Ahmad, Waqar
Mushtaq, Qaisar
author_role author
author2 Abbas, Qaisar
Celebi, M. Emre
Ahmad, Waqar
Mushtaq, Qaisar
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Teoría de la Señal y Comunicaciones
dc.subject.none.fl_str_mv Software tool
skin cancer
melanoma border detection
dermoscopy
contrast enhancement
hill-climbing
topic Software tool
skin cancer
melanoma border detection
dermoscopy
contrast enhancement
hill-climbing
description In this paper we present a software tool for melanoma border detection (MBD). It has been designed to be incorporated in any Computer Aided Diagnosis Tool (CAD) for early detection of melanoma in mass screening programs. The tool is completely automatic, posses a user-friendly interface and does not require any specific hardware. The main steps followed by the implemented algorithm are: uneven illumination correction, color contrast improvement and color image segmentation. All of them are performed in the uniform color space CIE L * a * b * in order to achieve a complete adaptation to human color perception. The program is able to provide not only the final obtained segmentation result but also intermediate graphical outcomes, guiding the user in the process of melanoma detection. This simple, friendly but powerful interface can serve as a support for the medical personnel in the melanoma diagnostic process. The MBD software and some samples of the dermoscopy images used can be downloaded at http://cs.ntu. edu.pk/research.php.
publishDate 2013
dc.date.none.fl_str_mv 2013
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11441/26530
url http://hdl.handle.net/11441/26530
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Image-A : Applicable Mathematics in Image Engineering, 3 (6), 45-48
http://institucional.us.es/revistas/imagen_a/6/art_5.pdf
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidad de Sevilla
publisher.none.fl_str_mv Universidad de Sevilla
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301629

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