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Morphological sampling based on foveal mechanisms

机译:基于芯片机制的形态学抽样

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Research realized in the field of human vision offers a tremendous potential for computer vision. In our opinion, if we are expected to write algorithms and to build models for image processing, it is necessary to take into account some features of the organization of the human visual system. In that way we have chosen to base our investigation on the retina. Indeed the retina is the first neuronal structure involved in visual perception and it is largely studied by neurobiologists as mentioned by Wandell (1995). One goal of this paper is to show how the knowledge of a particular organ implied in vision can be used to conceive new sampling operators (space-variant and morphological) to realize selective analysis of a scene.
机译:在人类视野领域实现的研究为计算机愿景提供了巨大的潜力。在我们看来,如果我们预计会编写算法并建立图像处理模型,则有必要考虑人类视觉系统组织的一些特征。以这种方式,我们选择基于对视网膜的调查。实际上,视网膜是参与视觉感知的第一种神经元结构,并且由于Wandell(1995)所提到的神经生物学家大部分研究。本文的一个目标是展示视野中暗示的特定器官的知识如何用于构思新的采样操作员(空间变量和形态学)来实现场景的选择性分析。

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