110763 20230519145402.0 doi 10.3390/math9222974 sideral 125761 ART-2021-125761 eng Martínez-Torres, J. Automatic image characterization of psoriasis lesions 2021 Access copy available to the general public Unrestricted Psoriasis is a chronic skin disease that affects 125 million people worldwide and, par-ticularly, 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. info:eu-repo/grantAgreement/ES/DGA/T31-20R info:eu-repo/grantAgreement/ES/MINECO-FEDER/TIN2016-76770-R info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.592 2021 MATHEMATICS 21 / 333 = 0.063 2021 Q1 T1 0.538 2021 Computer Science (miscellaneous) 2021 Q2 Engineering (miscellaneous) 2021 Q2 2.9 2021 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Silva Piñeiro, A. Alesanco, Á. Universidad de Zaragoza (orcid)0000-0002-5254-1402 Pérez-Rey, I. García, J. Universidad de Zaragoza (orcid)0000-0001-9485-7678 5008 560 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Ingeniería Telemática 9, 22 (2021), 2974 [13 pp.] Mathematics (Basel) Mathematics 2227-7390 4904846 http://zaguan.unizar.es/record/110763/files/texto_completo.pdf Versión publicada 2579489 http://zaguan.unizar.es/record/110763/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:110763 articulos driver 2023-05-18-13:40:58 ARTICLE