Automatic Image Characterization of Psoriasis Lesions

Psoriasis is a chronic skin disease that affects 125 million people worldwide and, particularly, 2% of the Spanish population, characterized by the appearance of skin lesions due to a growth of the epidermis that is seven times larger than usual. Its diagnosis and monitoring are based on the use of...

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Autores principales:	Javier Martínez-Torres, Alicia Silva Piñeiro, Álvaro Alesanco, Ignacio Pérez-Rey, José García
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	psoriasis image processing OpenCV classification Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/0afdd30966d144cb89444f9fd9694dd6
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spelling	oai:doaj.org-article:0afdd30966d144cb89444f9fd9694dd62021-11-25T18:17:44ZAutomatic Image Characterization of Psoriasis Lesions10.3390/math92229742227-7390https://doaj.org/article/0afdd30966d144cb89444f9fd9694dd62021-11-01T00:00:00Zhttps://www.mdpi.com/2227-7390/9/22/2974https://doaj.org/toc/2227-7390Psoriasis is a chronic skin disease that affects 125 million people worldwide and, particularly, 2% of the Spanish population, characterized by the appearance of skin lesions due to a growth of the epidermis that is seven times larger than usual. Its diagnosis and monitoring are based on the use of methodologies for measuring the severity and extent of these spots, and this includes a large subjective component. For this reason, this paper presents an automatic method for characterizing psoriasis images that is divided into four parts: image preparation or pre-processing, feature extraction, classification of the lesions, and the obtaining of parameters. The methodology proposed in this work covers different digital-image processing techniques, namely, marker-based image delimitation, hair removal, nipple detection, lesion contour detection, areal-measurement-based lesion classification, as well as lesion characterization by means of red and white intensity. The results obtained were also endorsed by a professional dermatologist. This methodology provides professionals with a common software tool for monitoring the different existing typologies, which proved satisfactory in the cases analyzed for a set of 20 images corresponding to different types of lesions.Javier Martínez-TorresAlicia Silva PiñeiroÁlvaro AlesancoIgnacio Pérez-ReyJosé GarcíaMDPI AGarticlepsoriasisimage processingOpenCVclassificationMathematicsQA1-939ENMathematics, Vol 9, Iss 2974, p 2974 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	psoriasis image processing OpenCV classification Mathematics QA1-939
spellingShingle	psoriasis image processing OpenCV classification Mathematics QA1-939 Javier Martínez-Torres Alicia Silva Piñeiro Álvaro Alesanco Ignacio Pérez-Rey José García Automatic Image Characterization of Psoriasis Lesions
description	Psoriasis is a chronic skin disease that affects 125 million people worldwide and, particularly, 2% of the Spanish population, characterized by the appearance of skin lesions due to a growth of the epidermis that is seven times larger than usual. Its diagnosis and monitoring are based on the use of methodologies for measuring the severity and extent of these spots, and this includes a large subjective component. For this reason, this paper presents an automatic method for characterizing psoriasis images that is divided into four parts: image preparation or pre-processing, feature extraction, classification of the lesions, and the obtaining of parameters. The methodology proposed in this work covers different digital-image processing techniques, namely, marker-based image delimitation, hair removal, nipple detection, lesion contour detection, areal-measurement-based lesion classification, as well as lesion characterization by means of red and white intensity. The results obtained were also endorsed by a professional dermatologist. This methodology provides professionals with a common software tool for monitoring the different existing typologies, which proved satisfactory in the cases analyzed for a set of 20 images corresponding to different types of lesions.
format	article
author	Javier Martínez-Torres Alicia Silva Piñeiro Álvaro Alesanco Ignacio Pérez-Rey José García
author_facet	Javier Martínez-Torres Alicia Silva Piñeiro Álvaro Alesanco Ignacio Pérez-Rey José García
author_sort	Javier Martínez-Torres
title	Automatic Image Characterization of Psoriasis Lesions
title_short	Automatic Image Characterization of Psoriasis Lesions
title_full	Automatic Image Characterization of Psoriasis Lesions
title_fullStr	Automatic Image Characterization of Psoriasis Lesions
title_full_unstemmed	Automatic Image Characterization of Psoriasis Lesions
title_sort	automatic image characterization of psoriasis lesions
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/0afdd30966d144cb89444f9fd9694dd6
work_keys_str_mv	AT javiermartineztorres automaticimagecharacterizationofpsoriasislesions AT aliciasilvapineiro automaticimagecharacterizationofpsoriasislesions AT alvaroalesanco automaticimagecharacterizationofpsoriasislesions AT ignacioperezrey automaticimagecharacterizationofpsoriasislesions AT josegarcia automaticimagecharacterizationofpsoriasislesions
_version_	1718411362055487488

Automatic Image Characterization of Psoriasis Lesions

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