Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/95506
Author(s): | Francisco P. M. Oliveira João Manuel R. S. Tavares |
Title: | Registration of plantar pressure images |
Issue Date: | 2012 |
Abstract: | 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. |
Subject: | Ciências Tecnológicas, Outras ciências da engenharia e tecnologias Technological sciences, Other engineering and technologies |
Scientific areas: | Ciências da engenharia e tecnologias::Outras ciências da engenharia e tecnologias Engineering and technology::Other engineering and technologies |
URI: | https://repositorio-aberto.up.pt/handle/10216/95506 |
Document Type: | Artigo em Revista Científica Internacional |
Rights: | restrictedAccess |
Appears in Collections: | FEUP - Artigo em Revista Científica Internacional |
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File | Description | Size | Format | |
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62968.pdf Restricted Access | Paper | 403.92 kB | Adobe PDF | Request a copy from the Author(s) |
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