A reaction‐diffusion model performing stripe‐ and spot‐image restoration and its LSI implementation

Abstract

SUMMARYThis paper is intended to develop an LSI that restores in real time an image pattern with defects and contamination. To this end, based on the principle of shape formation in biological bodies, a reaction-diffusion model that can generate and repair Turing patterns, such as stripes and spots seen in fingerprint and body marks, is proposed. A parallel architecture of the reaction-diffusion chips incorporating this model is presented. By means of circuit simulation, it is shown that this LSI can restore stripe (spot) patterns

Dissipative solitons

“…The result is a kind of nonlinear amplification being accompanied by effective noise suppression. Such systems can also be looked upon as devices for image recognition [622]. The same device can be used for parallel digitizing of an image.…”

Robust Edge Detection Using Mumford-Shah Model and Binary Level Set Method

“…However, they may break down when the gradient generated by noise is comparable to the targeted edges. Along this line, some reaction and diffusion equations [35,42], edge flow [24], snake/active contour models [20,12,5] and universal gravity [34] are also proposed for edge detection.…”

Integration of Intensity Edge Information Into the Reaction-Diffusion Stereo Algorithm

“…Adamatzky et al proposed novel computer architecture that performs image processing with a reaction-diffusion system (Adamatzky et al, 2005); they also proposed computer algorithms utilizing the reactiondiffusion equations and named a class of the algorithms 'reaction-diffusion algorithm'. Suzuki et al realized a reaction-diffusion system with large-scale integrated circuits for an application to finger-print identification (Suzuki et al, 2005). Ueyama et al proposed a model described with a reaction-diffusion equation for explaining figure-ground separation observed in the human motion perception (Ueyama et al, 1998).…”