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Machine vision based on the concept of contrast sensitivity of the human eye

机译:基于人眼对比敏感度概念的机器视觉

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The model of contrast sensitivity function (CSF) of machine vision system, based on the CSF of the human visual system is proposed. By analogy with the human eye, we employ the concept of ganglion cell receptive field to the artificial light-sensitive elements. By further following this concept, we introduced quantative metrics of local and global contrast of digital image. We suggested that the contrast sensitivity threshold forms an iso-line in the parameter space contrast - spatial frequency. The model, implemented in a computer vision system, has been compared to the results of contrast sensitivity research, conducted directly with the human visual system, and demonstrated a good match.
机译:提出了基于人类视觉系统的CSF的机器视觉系统的对比敏感度函数模型。类似于人眼,我们将神经节细胞感受野的概念应用于人工感光元件。通过进一步遵循此概念,我们引入了数字图像局部和全局对比度的量化指标。我们建议对比敏感度阈值在参数空间对比-空间频率中形成一条等值线。该模型在计算机视觉系统中实现,已与对比敏感度研究的结果进行了比较,并直接在人类视觉系统上进行了演示,并显示出很好的匹配性。

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