• 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。

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  • 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。

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  • 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。

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  • 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。

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  • Secondly, a flexibility amplifying mechanism is proposed to make the amplified image suitable for the human vision system.

    二是制定柔性细节放大机制,使得细节放大更加符合人类视觉习惯。

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  • The experimental results show that the algorithm is more appropriate to describe the gazing mechanism in Human vision System.

    结果表明,该算法更加适合于对人眼视觉注视机制的描述。

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  • 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。

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  • 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。

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  • Presents an algorithm of text steganography according to the insensitivity of HVS( Human Vision System) to space of lines and the original place in each row.

    利用人类视觉系统对文本行间距和行起始位置的信息不敏感这一特性,提出了一种增加信息隐藏容量的基于文本的信息隐藏算法。

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  • 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。

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  • Classical methods are mostly based on structural and statistic descriptions which are inconsistent with the behaviour of human vision system (HVS) and the segmentation accuracy is limited.

    传统方法大多基于形态结构和统计描述,与人类视觉机理相脱节,无法进一步提高分割精度。

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  • The quantitative evaluation method for image enhancement is designed based on the vision properties. Experiments indicate that the values of assessment approximate to those of human vision system.

    图像增强质量客观评估算法是依据视觉感知模型设计的,大量测试结果表明,客观评估算法的分析结果与主观评估结果基本吻合。

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  • In order to implement grading quickly, accurately and automatically, a color grading method based on perceptually uniform color space is put forward according to human vision system characteristics.

    为了实现快速自动分级,根据人类视觉特性,提出了一种基于均匀颜色空间的表面颜色分级方法。

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  • 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。

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  • This subject mainly carries on the research of robotic vision system by imitating human visual function.

    本课题主要从仿人的头部视觉功能开展机器人视觉系统的研究。

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  • Vision is the best perception system of human. Vision invariants for planar object recognition catch our attention.

    视觉是人类最完善的感知系统,基于视觉不变量的平面目标识别方法近年来得到广泛的关注。

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  • Human face automatic recognition system is a cross subject combined with pattern recognition, computer vision and biometrics, in which human face detection is a key factor.

    人脸识别是模式识别与计算机视觉、生物识别技术的交叉学科,而人脸检测是人脸识别系统的关键环节。

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  • In nature and our lives, many objects have symmetries. Symmetry is important character of object and important portion of human vision perceptual organization system.

    自然界和日常生活中的很多物体都具有某种形式的对称性,对称性既是物体的重要特征,也是人类视觉感知组织系统中的重要组成部分。

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  • The human-head portrait robot system H&F ROBOT-II with vision, facial expression recognition and representation functions was designed and developed.

    本文设计并研制了具有视觉、表情识别与再现功能的仿人头像机器人H&FROBOT-II系统。

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  • Vision system is an important perception system of human dealing with external world.

    视觉系统是人对外部世界的重要的感知系统。

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  • Image design of vision, sense of hearing and sense of feeling related to human sensory system are closely bound up with every work of library.

    人的感官系统所相关的视觉、听觉、触觉的形象设计与图书馆各项工作息息相关,好的设计给人们带来一种温馨、自然和舒适的感觉。

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  • Selection of angle magnification for a thermal imaging system (TIS) based on the theory of human vision is investigated.

    根据眼脑视觉理论,研究了热成像系统角放大率。

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  • An online automated grading system of pearl perfection based on computer vision was introduced to replace time-consuming human grading.

    为代替耗时的传统人工分选,设计了一种基于机器视觉的珍珠光洁度在线自动分级系统。

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  • People apply machine vision technology to the X-ray real-time imaging system for computer aided analysis and even completely replacement of the human analysis.

    目前人们把机器视觉的技术应用到X射线实时成像系统中,辅助人们对X射线图像进行实时分析,甚至完全取代人眼进行无损检测。

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  • The human perception of spatial location is a very complex function that simultaneously involves three elements: the vision, the vestibular system and the sense of touch.

    人类对空间位置的感知能力是一套复杂的功能,它同时涉及到三个要素:视觉,前庭感知和触觉。

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  • Active target tracking system, which simulates the human vision, controls the operation of camera actively to track target based on the analysis results and requirements.

    主动目标跟踪就是模仿人类视觉的功能,根据已有的分析结果和视觉任务的需要,通过主动控制摄像机动作来跟踪目标。

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  • This paper makes use of existing speech recognition and computer vision technology to develop a human-computer interaction support system for disabled users.

    因此本文利用现有的语音识别技术和计算机视觉技术,来开发适合残疾人用户使用的人机交互辅助系统。

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  • This paper makes use of existing speech recognition and computer vision technology to develop a human-computer interaction support system for disabled users.

    因此本文利用现有的语音识别技术和计算机视觉技术,来开发适合残疾人用户使用的人机交互辅助系统。

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