Literature DB >> 15573818

Frequency domain formulation of active parametric deformable models.

Luis Weruaga1, Rafael Verdú, Juan Morales.   

Abstract

Active deformable models are simple tools, very popular in computer vision and computer graphics, for solving ill-posed problems or mimic real physical systems. The classical formulation is given in the spatial domain, the motor of the procedure is a second-order linear system, and rigidity and elasticity are the basic parameters for its characterization. This paper proposes a novel formulation based on a frequency-domain analysis: The internal energy functional and the Lagrange minimization are performed entirely in the frequency domain, which leads to a simple formulation and design. The frequency-based implementation offers important computational savings in comparison to the original one, a feature that is improved by the efficient hardware and software computation of the FFT algorithm. This new formulation focuses on the stiffness spectrum, allowing the possibility of constructing deformable models apart from the elasticity and rigidity-based original formulation. Simulation examples validate the theoretical results.

Entities:  

Year:  2004        PMID: 15573818     DOI: 10.1109/TPAMI.2004.124

Source DB:  PubMed          Journal:  IEEE Trans Pattern Anal Mach Intell        ISSN: 0098-5589            Impact factor:   6.226


  3 in total

1.  Automatic active contour-based segmentation and classification of carotid artery ultrasound images.

Authors:  Asmatullah Chaudhry; Mehdi Hassan; Asifullah Khan; Jin Young Kim
Journal:  J Digit Imaging       Date:  2013-12       Impact factor: 4.056

2.  Segmentation of the common carotid artery walls based on a frequency implementation of active contours: segmentation of the common carotid artery walls.

Authors:  M Consuelo Bastida-Jumilla; Rosa M Menchón-Lara; Juan Morales-Sánchez; Rafael Verdú-Monedero; Jorge Larrey-Ruiz; José Luis Sancho-Gómez
Journal:  J Digit Imaging       Date:  2013-02       Impact factor: 4.056

3.  Automatic Segmentation of the Retinal Nerve Fiber Layer by Means of Mathematical Morphology and Deformable Models in 2D Optical Coherence Tomography Imaging.

Authors:  Rafael Berenguer-Vidal; Rafael Verdú-Monedero; Juan Morales-Sánchez; Inmaculada Sellés-Navarro; Rocío Del Amor; Gabriel García; Valery Naranjo
Journal:  Sensors (Basel)       Date:  2021-12-01       Impact factor: 3.576

  3 in total

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