Registration of plantar pressure images

• Tipo: Artigo em Revista Científica Internacional
• Data: 2012

Autores

Francisco P. M. Oliveira (Autor) Outra; João Manuel R. S. Tavares (Autor) FEUP

Revista

Título: International Journal for Numerical Methods in Biomedical Engineering

Vol. 28 Nº 6-7

Páginas: 589-603

ISSN: 2040-7939

Editora: Wiley-Blackwell

Indexação

ISI Web of Knowledge - 8 Citações

ISI Web of Science

Scopus - 7 Citações

INSPEC

COMPENDEX

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Outras ciências da engenharia e tecnologias

CORDIS: Ciências Tecnológicas

Outras Informações

ID Authenticus: P-002-9AP

DOI: 10.1002/cnm.1461

Abstract (EN): In this work, five computational methodologies to register plantar pressure images are compared: (1) the first methodology is based on matching the external contours of the feet; (2) the second uses the phase correlation technique; (3) the third addresses the direct maximization of cross-correlation using the Fourier transform; (4) the fourth minimizes the sum of squared differences using the Fourier transform; and (5) the fifth methodology iteratively optimizes an intensity (dis)similarity measure based on Powell's method. The accuracy and robustness of the five methodologies were assessed by using images from three common plantar pressure acquisition devices: a Footscan system, an EMED system, and a light reflection system. Using the residual error as a measure of accuracy, all methodologies revealed to be very accurate even in the presence of noise. The most accurate was the methodology based on the iterative optimization, when the mean squared error was minimized. It achieved a residual error inferior to 0.01?mm and 0.6?mm for non-noisy and noisy images, respectively. On the other hand, the methodology based on image contour matching was the fastest, but its accuracy was the lowest. Copyright (c) 2011 John Wiley & Sons, Ltd.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 15