Area evaluation using image processing tools: An applied study to pressure ulcer monitoring

Autor:	Levy Aniceto Santana, Edvar Ferreira da Rocha Júnior, C. L. D. Reis, R. Guadagnin, Rinaldo de Souza Neves, J. M. Cavalcante
Rok vydání:	2010
Předmět:	Computer science business.industry Pattern recognition (psychology) Process (computing) Image processing Pattern recognition Computer Vision and Pattern Recognition Artificial intelligence business Computer Graphics and Computer-Aided Design Texture (geology) Image (mathematics)
Zdroj:	Pattern Recognition and Image Analysis. 20:220-224
ISSN:	1555-6212 1054-6618
DOI:	10.1134/s1054661810020148
Popis:	Monitoring of pressure ulcer (PU) healing process is essentially based on image analysis. Geometrical, texture and color features enable decisions about therapeutic procedures to be adopted. A PU emerges when a soft tissue is compressed. Its area is a geometrical features that can be non4nvasively, through image processing, evaluated and is an important indicator of healing evolution. Softwares Motic and AutoCAD allow evaluating area from image regions through computational contour marking. Using this technique, areas from two grade III PUs were evaluated by 35 volunteers. A statistical comparison between them showed that they are equivalent for clinical purposes, allowing, therefore, an improved accompaniment of the evolution of the healing process of PUs.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6ffad4ebfa5f6d1329b9992127862bb7 https://doi.org/10.1134/s1054661810020148 Zobrazit plný text záznamu Full text from SpringerLink