Registration of pedobarographic images

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2010

Autores

Francisco Paulo Marques de Oliveira (Autor) FEUP; Todd C. Pataky (Autor) FEUP; João Manuel Ribeiro da Silva Tavares (Autor) FEUP

Ata de Conferência Internacional

Título: CMBBE2010 - 9th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering

Página Inicial: 6 p.

CMBBE2010 - 9th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, Westin Hotel, Valencia, Spain, 24-27 February, 2010

Westin Hotel, Valencia, Spain, 24-27 February, 2010

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia mecânica

CORDIS: Ciências Físicas > Física > Biofísica > Biomecânica

Outras Informações

Abstract (EN): In this study, we compare the performance of six fully automatic methods of within-subjects pedobarographic image registration: principal axes, modal matching, min(XOR), min(MSE), contours-based and frequency-based. These algorithms were tested on 30 control image pairs considered in previous studies. The accuracy was assessed by visual inspection and using the image similarity measures: exclusive-or (XOR) and mean squared error (MSE). Visually, we did not find differences in the registration accuracy among the min(XOR), min(MSE), contours-based and frequency-based algorithms. On the other hand, using the similarity measures, we found out that the best XOR value was achieved by the contours-based algorithm, closely followed by the min(XOR). Additionally, the best MSE value was achieved by the min(MSE) algorithm, nearly followed by the frequency-based algorithm. Finally, the algorithms based on principal axes and modal matching revealed low robustness.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6