Med Biol Eng Comput - Novel framework for registration of pedobarographic image data.

Tópicos

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Resumo

This article presents a framework to register (or align) plantar pressure images based on a hybrid registration approach, which first establishes an initial registration that is subsequently improved by the optimization of a selected image (dis)similarity measure. The initial registration has two different solutions: one based on image contour matching and the other on image cross-correlation. In the final registration, a multidimensional optimization algorithm is applied to one of the following (dis)similarity measures: the mean squared error (MSE), the mutual information, and the exclusive or (XOR). The framework has been applied to intra- and inter-subject registration. In the former, the framework has proven to be extremely accurate and fast (<70?ms on a normal PC notebook), and obtained superior XOR and identical MSE values compared to the best values reported in previous studies. Regarding the inter-subject registration, by using rigid, similarity, affine, projective, and polynomial (up to the fourth degree) transformations, the framework significantly optimized the image (dis)similarity measures. Thus, it is considered to be very accurate, fast, and robust in terms of noise, as well as being extremely versatile, all of which are regarded as essential features for near-real-time applications.

Resumo Limpo

articl present framework regist align plantar pressur imag base hybrid registr approach first establish initi registr subsequ improv optim select imag dissimilar measur initi registr two differ solut one base imag contour match imag crosscorrel final registr multidimension optim algorithm appli one follow dissimilar measur mean squar error mse mutual inform exclus xor framework appli intra intersubject registr former framework proven extrem accur fast ms normal pc notebook obtain superior xor ident mse valu compar best valu report previous studi regard intersubject registr use rigid similar affin project polynomi fourth degre transform framework signific optim imag dissimilar measur thus consid accur fast robust term nois well extrem versatil regard essenti featur nearrealtim applic

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