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Advisor(s)
Abstract(s)
We consider some second-order variational model for solving medical image problems. The aim is to obtain as far as possible fine features of the initial image and identify medical pathologies. The approach consists of constructing a family of regularized functionals and to select locally and adaptively the regularization parameters. The parameters selection is performed at the discrete level in the framework of the finite element method. We present several numerical simulations to test the efficiency of the proposed approach.
Description
Este trabalho foi financiado pelo Concurso Anual para Projetos de Investigação, Desenvolvimento, Inovação e Criação Artística (IDI&CA) 2016 do Instituto Politécnico de Lisboa. Código de referência IPL/2016/V2MIP_ISEL
Keywords
Variational method Finite element method Image processing
Citation
ALMEIDA, A.; [et al] – Finite element techniques for medical image processing. In 3rd International Conference on Numerical and Symbolic Computation – SYMCOMP 2017. Guimarães, Portugal. ECCOMAS – European Community on Computational Methods in Applied Sciences, 2017. ISBN: 978-989-99410-3-8. Pp. 243-250.
Publisher
ECCOMAS – European Community on Computational Methods in Applied Sciences