The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of CIRCUITS, SYSTEMS and SIGNAL PROCESSING
Transactions ID Number: 19-557
Full Name: Atsushi Nomura
Position: Associate Professor
Age: ON
Sex: Male
Address: Yoshida 1677-1, Yamaguchi, 753-8513
Country: JAPAN
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E-mail address: anomura@yamaguchi-u.ac.jp
Other E-mails: nomura_ypu@hotmail.com
Title of the Paper: Edge detection algorithm inspired by pattern formation processes of reaction-diffusion systems
Authors as they appear in the Paper: Atsushi Nomura, Makoto Ichikawa, Koichi Okada, Hidetoshi Miike and Tatsunari Sakurai
Email addresses of all the authors: anomura@yamaguchi-u.ac.jp, ichikawa@L.chiba-u.ac.jp, kokada@yamaguchi-u.ac.jp, miike@yamaguchi-u.ac.jp, tatsu@physics.s.chiba-u.ac.jp
Number of paper pages: 11
Abstract: This paper presents a quick review of reaction-diffusion systems and the application of a discretely spaced reaction-diffusion system to edge detection in image processing. A reaction-diffusion system refers to a system consisting of diffusion processes coupled with reaction processes. Several reaction-diffusion systems self-organize spatio-temporal patterns of circular, spiral and periodic waves propagating in two-dimensional space. In addition, some of the systems having rapid inhibitory diffusion self-organize stationary periodic patterns; the Turing pattern is one of the typical examples of stationary periodic patterns observed in reaction-diffusion systems under rapid inhibitory diffusion. We have previously found that a discretely spaced system of reaction-diffusion with rapid inhibitory diffusion has a mechanism detecting edges from an image intensity distribution. The mechanism divides an image intensity distribution into brighter or darker intensity areas !
with a threshold level, and organizes pulses along edges of the divided areas. By searching an output distribution of the reaction-diffusion system for pulses, we can achieve edge detection. However, since the threshold level is usually fixed at a constant value in the reaction-diffusion system, the mechanism is not applicable to gray level images. Thus, this paper furthermore proposes an edge detection algorithm consisting of two pairs of discretely spaced reaction-diffusion systems with a variable threshold level. We apply the edge detection algorithm and a representative algorithm proposed by Canny to several artificial and real images and confirm their performance.
Keywords: Reaction-diffusion, pattern formation, pattern recognition, long-range inhibition, edge detection, non-linear reaction, Turing pattern, FitzHugh-Nagumo
EXTENSION of the file: .pdf
Special (Invited) Session: Reaction-Diffusion Systems in Pattern Formation and Pattern Recognition Processes
Organizer of the Session: 647-427
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