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Understanding Physiological and Degenerative Natural Vision Mechanisms to Define Contrast and Contour Operators
BACKGROUND: Dynamical systems like neural networks based on lateral inhibition have a large field of applications in image processing, robotics and morphogenesis modeling. In this paper, we will propose some examples of dynamical flows used in image contrasting and contouring. METHODOLOGY: First we...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2696105/ https://www.ncbi.nlm.nih.gov/pubmed/19547712 http://dx.doi.org/10.1371/journal.pone.0006010 |
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author | Demongeot, Jacques Fouquet, Yannick Tayyab, Muhammad Vuillerme, Nicolas |
author_facet | Demongeot, Jacques Fouquet, Yannick Tayyab, Muhammad Vuillerme, Nicolas |
author_sort | Demongeot, Jacques |
collection | PubMed |
description | BACKGROUND: Dynamical systems like neural networks based on lateral inhibition have a large field of applications in image processing, robotics and morphogenesis modeling. In this paper, we will propose some examples of dynamical flows used in image contrasting and contouring. METHODOLOGY: First we present the physiological basis of the retina function by showing the role of the lateral inhibition in the optical illusions and pathologic processes generation. Then, based on these biological considerations about the real vision mechanisms, we study an enhancement method for contrasting medical images, using either a discrete neural network approach, or its continuous version, i.e. a non-isotropic diffusion reaction partial differential system. Following this, we introduce other continuous operators based on similar biomimetic approaches: a chemotactic contrasting method, a viability contouring algorithm and an attentional focus operator. Then, we introduce the new notion of mixed potential Hamiltonian flows; we compare it with the watershed method and we use it for contouring. CONCLUSIONS: We conclude by showing the utility of these biomimetic methods with some examples of application in medical imaging and computed assisted surgery. |
format | Text |
id | pubmed-2696105 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-26961052009-06-23 Understanding Physiological and Degenerative Natural Vision Mechanisms to Define Contrast and Contour Operators Demongeot, Jacques Fouquet, Yannick Tayyab, Muhammad Vuillerme, Nicolas PLoS One Research Article BACKGROUND: Dynamical systems like neural networks based on lateral inhibition have a large field of applications in image processing, robotics and morphogenesis modeling. In this paper, we will propose some examples of dynamical flows used in image contrasting and contouring. METHODOLOGY: First we present the physiological basis of the retina function by showing the role of the lateral inhibition in the optical illusions and pathologic processes generation. Then, based on these biological considerations about the real vision mechanisms, we study an enhancement method for contrasting medical images, using either a discrete neural network approach, or its continuous version, i.e. a non-isotropic diffusion reaction partial differential system. Following this, we introduce other continuous operators based on similar biomimetic approaches: a chemotactic contrasting method, a viability contouring algorithm and an attentional focus operator. Then, we introduce the new notion of mixed potential Hamiltonian flows; we compare it with the watershed method and we use it for contouring. CONCLUSIONS: We conclude by showing the utility of these biomimetic methods with some examples of application in medical imaging and computed assisted surgery. Public Library of Science 2009-06-23 /pmc/articles/PMC2696105/ /pubmed/19547712 http://dx.doi.org/10.1371/journal.pone.0006010 Text en Demongeot et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Demongeot, Jacques Fouquet, Yannick Tayyab, Muhammad Vuillerme, Nicolas Understanding Physiological and Degenerative Natural Vision Mechanisms to Define Contrast and Contour Operators |
title | Understanding Physiological and Degenerative Natural Vision Mechanisms to Define Contrast and Contour Operators |
title_full | Understanding Physiological and Degenerative Natural Vision Mechanisms to Define Contrast and Contour Operators |
title_fullStr | Understanding Physiological and Degenerative Natural Vision Mechanisms to Define Contrast and Contour Operators |
title_full_unstemmed | Understanding Physiological and Degenerative Natural Vision Mechanisms to Define Contrast and Contour Operators |
title_short | Understanding Physiological and Degenerative Natural Vision Mechanisms to Define Contrast and Contour Operators |
title_sort | understanding physiological and degenerative natural vision mechanisms to define contrast and contour operators |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2696105/ https://www.ncbi.nlm.nih.gov/pubmed/19547712 http://dx.doi.org/10.1371/journal.pone.0006010 |
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