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BACKGROUND What kind of neural computation is actually performed by the primary visual cortex and how is this represented mathematically at the system level? It is an important problem in the visual information processing, but has not been well answered. In this paper, according to our understanding of retinal organization and parallel multi-channel(More)
An important problem in selective attention is determining the ways the primary visual cortex contributes to the encoding of bottom-up saliency and the types of neural computation that are effective to model this process. To address this problem, we constructed a two-layered network that satisfies the neurobiological constraints of the primary visual cortex(More)
On the basis of synchronous oscillation in the visual cortex and synchronized responses to external stimuli, we have proposed a complete neural computational model of visual information processing, which consists of multiscale filtering, phase synchronization, and inner-product formation. In the model, firing-spike trains are topologically mapped from the(More)
In this paper we propose a new level-set based image segmentation method. Our contributions lie in two aspects. Firstly, to solve initialization sensitivity of existing methods, we propose an adaptive external force. It can dynamically determine its direction according to the change of contrast between two sides of the curve during the evolving process, in(More)
How it is possible to “faithfully” represent a three-dimensional stereoscopic scene using Cartesian coordinates on a plane, and how three-dimensional perceptions differ between an actual scene and an image of the same scene are questions that have not yet been explored in depth. They seem like commonplace phenomena, but in fact, they are important and(More)
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