Computer vision is the simulation of human vision.
计算机视觉是人类视觉的模拟。
Light plays a significant role in the domain of human vision.
在人类的视觉领域，光一直扮演着举足轻重的角色。
The human Vision System reflects the perceptual character of human eyes.
人类视觉系统反应了人类的脑眼系统对颜色的感知特性。
It has the partial ability of visual selectivity in the human vision system.
该方法在一定程度上具各了类似于人类视觉系统的选择性加工能力。
As it were, where there is human vision, there is almost needs machine vision.
可以说，需要人类视觉的场合几乎都需要机器视觉。
Secondly, a novel approach is proposed based on a mechanism of human vision model.
基于人眼视觉机理启发，提出了一种新的多尺度滤波模板构造方法。
In subjective human vision system, the quality of ROI has been obviously improved.
在主观视觉上，ROI的图像质量有明显改善。
It is not yet known whether robots will one day have vision as good as human vision.
现在还不知道有一天机器人是否具有人类一样的好视力。
At present, the defect inspection of the pellicle is basically done by human vision in China.
目前国内针对塑料薄膜表面的疵点检测基本上还是由人工视觉完成。
Proteorhodopsin is related to the pigment in the retina that enables human vision in less intense light.
这种物质与视网膜中的色素相关，使人的视觉感受更少的强光。
Colour is decorated indoors in very important, it is human vision in most canorous language symbol.
色彩在室内装饰中十分重要，它是人类视觉中最响亮的语言符号。
The color sensitivity of normal human vision is rarely surpassed even by sophisticated technical devices.
普通人类的视觉感受色彩的灵敏程度，甚至连精密的技术装备都很难超越。
Since microwaves lie outside the range of human vision, scientists need special telescopes to analyze them.
因为微波在人的视力范围之外，所以科学家需要在特殊的望远镜帮助下进行分析。
To create a 3d film, animators mimic natural human vision by building a stereoscopic camera rig within the computer.
制作3d电影时，动画制作者们用电脑建立起立体摄影设备，以模仿人类的正常视觉。
It is natural that the image under observation is divided into the object and background parts by the human vision.
人眼在观察一幅图像时，总是很自然地将图像分成目标和背景。
The maximum vector of the RGB color in the RGB color space determines the sense of Human Vision System to the color.
在RGB空间中，人眼对颜色的感知主要由该颜色rgb分量的最大分量决定。
Therefore, a kind of machine technology if needed urgently by the practical application to replaces the human vision.
所以实际应用迫切需要一种代替人类视觉的机器技术出现。
Its legendary balance was achieved through a number of devices employed to counteract certain peculiarities of human vision.
它运用了多种设计来抵消人类特殊的视觉偏差，从而达到令人惊叹的均衡。
Light has a much shorter wavelength and is readily reflected from small objects-one reason that human vision relies on it.
激光的波长短，很容易被细微的物体反射-人类的视觉依赖可见光的原因也在此。
Its legendary balance was achieved through a number of devices employed to counteract certain peculiarities of human vision.
它运用了多种设计来抵消人类特殊的视觉偏差，从而达到令人惊叹的效果。
Reinforcing the edge and features of the image can make it clear to human vision character or recognition for machine system.
为了提高图像的清晰度使之更适合于人的视觉特性或机器的识别，需要对图像的特征或边缘进行加强。
In this paper, a multi focus image fusion algorithm is proposed which takes features of human vision system (HVS) into account.
本文提出了一种考虑人眼视觉系统特性的多聚焦图像融合算法。
The multi-scale and the auto-registration are related with human vision, and the important tools especially to texture analysis.
图像分析中多尺度分析与自配准性质与人类视觉相关联，是纹理分析的重要工具。
A new theory of gradually flattening gray spectrum was presented to overcome the contrast resolution limitation of human vision.
本文提出了一种新的理论-灰度谱分级平坦化来克服人类视觉对比度分辨率限制。
Convolution kernel determined by the characteristic of space response for human vision was used to do space filtering and CIELAB processing.
该方法首先利用由人类视觉空间响应特性确定的卷积核进行空间滤波，然后进行CIELAB处理。
A method for human face detection under complex background is proposed on the basis of human vision mechanism and skin color clustering features.
在人类视觉机制和肤色聚类特性的基础上，提出了一种复杂背景下人脸检测方法。
Based on human vision system we bring forward the system model with moving node, and describe the character and point out the difficulty in realization.
根据人体视觉系统的特点，对双节点联合跟踪的系统模型进行了改进，提出了移动节点下的系统模型，并指出了系统模型的特点和实现难点。
The result repeatability, receives more and more many attention with the human vision associated production machine vision in the commercial measurement.
结果的可重复性，与人类视觉相结合产生的机器视觉在工业测量中受到越来越多的关注。
The objective digital film image quality assessment based on peak signal to noise ratio, together with structural similarity and human vision system is proposed.
提出了以峰值信噪比为基础，结合结构相似度和基于人眼视觉系统的数字电影图像质量客观评价方法。
This paper mainly studies how to distinguish old black and white photographs and chromophotographs that in human vision, and presents an algorithm to classify them.
本文主要研究如何区分人类视觉中的黑白老照片和彩色照片，并提出了一种对两者分类的方法。
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