The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Este artigo apresenta um sistema digital de reação-difusão (DRDS) - um modelo de sistema dinâmico de reação-difusão em tempo discreto e espaço discreto - para projetar novos algoritmos de processamento de imagens inspirados em fenômenos de formação de padrões biológicos. A ideia original é baseada no modelo de formação de padrões de Turing, amplamente conhecido na biologia matemática. Primeiro mostramos que a morfogênese de Turing pode ser compreendida analisando a propriedade de formação de padrões do DRDS dentro da estrutura da teoria multidimensional de processamento de sinais digitais. Este artigo também descreve o projeto de um DRDS adaptativo para tarefas de processamento de imagens, como aprimoramento e restauração de imagens de impressões digitais.
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Koichi ITO, Takafumi AOKI, Tatsuo HIGUCHI, "Digital Reaction-Diffusion System--A Foundation of Bio-Inspired Texture Image Processing--" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 8, pp. 1909-1918, August 2001, doi: .
Abstract: This paper presents a digital reaction-diffusion system (DRDS)--a model of a discrete-time discrete-space reaction-diffusion dynamical system--for designing new image processing algorithms inspired by biological pattern formation phenomena. The original idea is based on the Turing's model of pattern formation which is widely known in mathematical biology. We first show that the Turing's morphogenesis can be understood by analyzing the pattern forming property of the DRDS within the framework of multidimensional digital signal processing theory. This paper also describes the design of an adaptive DRDS for image processing tasks, such as enhancement and restoration of fingerprint images.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_8_1909/_p
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@ARTICLE{e84-a_8_1909,
author={Koichi ITO, Takafumi AOKI, Tatsuo HIGUCHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Digital Reaction-Diffusion System--A Foundation of Bio-Inspired Texture Image Processing--},
year={2001},
volume={E84-A},
number={8},
pages={1909-1918},
abstract={This paper presents a digital reaction-diffusion system (DRDS)--a model of a discrete-time discrete-space reaction-diffusion dynamical system--for designing new image processing algorithms inspired by biological pattern formation phenomena. The original idea is based on the Turing's model of pattern formation which is widely known in mathematical biology. We first show that the Turing's morphogenesis can be understood by analyzing the pattern forming property of the DRDS within the framework of multidimensional digital signal processing theory. This paper also describes the design of an adaptive DRDS for image processing tasks, such as enhancement and restoration of fingerprint images.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Digital Reaction-Diffusion System--A Foundation of Bio-Inspired Texture Image Processing--
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1909
EP - 1918
AU - Koichi ITO
AU - Takafumi AOKI
AU - Tatsuo HIGUCHI
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2001
AB - This paper presents a digital reaction-diffusion system (DRDS)--a model of a discrete-time discrete-space reaction-diffusion dynamical system--for designing new image processing algorithms inspired by biological pattern formation phenomena. The original idea is based on the Turing's model of pattern formation which is widely known in mathematical biology. We first show that the Turing's morphogenesis can be understood by analyzing the pattern forming property of the DRDS within the framework of multidimensional digital signal processing theory. This paper also describes the design of an adaptive DRDS for image processing tasks, such as enhancement and restoration of fingerprint images.
ER -