Iterative Methods for Obtaining Energy-Minimizing Parametric Snakes with Applications to Medical Imaging
Author(s) -
Alexandru I. Mitrea,
Radu Badea,
Delia Mitrea,
Sergiu Nedevschi,
Paulina Mitrea,
Mircea Ivan,
Octavian Mircia Gurzău
Publication year - 2012
Publication title -
computational and mathematical methods in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.462
H-Index - 48
eISSN - 1748-6718
pISSN - 1748-670X
DOI - 10.1155/2012/918510
Subject(s) - parametric statistics , convergence (economics) , mathematical optimization , computer science , iterative method , consistency (knowledge bases) , stability (learning theory) , algorithm , energy (signal processing) , mathematics , artificial intelligence , statistics , machine learning , economics , economic growth
After a brief survey on the parametric deformable models, we develop an iterative method based on the finite difference schemes in order to obtain energy-minimizing snakes. We estimate the approximation error, the residue, and the truncature error related to the corresponding algorithm, then we discuss its convergence, consistency, and stability. Some aspects regarding the prosthetic sugical methods that implement the above numerical methods are also pointed out.
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