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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Kertas kerja ini mempersembahkan sistem resapan tindak balas digital (DRDS) --model sistem dinamik tindak balas ruang diskret masa diskret--untuk mereka bentuk algoritma pemprosesan imej baharu yang diilhamkan oleh fenomena pembentukan corak biologi. Idea asal adalah berdasarkan model pembentukan corak Turing yang dikenali secara meluas dalam biologi matematik. Kami mula-mula menunjukkan bahawa morfogenesis Turing boleh difahami dengan menganalisis sifat pembentuk corak DRDS dalam rangka teori pemprosesan isyarat digital multidimensi. Kertas ini juga menerangkan reka bentuk DRDS adaptif untuk tugas pemprosesan imej, seperti peningkatan dan pemulihan imej cap jari.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Salinan
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
Salinan
@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},}
Salinan
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 -