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Chinese translation for "gray information"

灰度信息

Related Translations:
gray level:  灰度级 和数字图像的像素相关连的值,表示由该像素的原始景物点的亮度灰阶灰色电平
nervous gray:  神经灰质
gray market:  灰市〔私人输入商品之市场〕。
gray antbird:  灰蚁鸟
feabitten gray:  (马毛色)斑青毛
gray thread:  原色纱
gray chiller:  格雷石蜡冷冻结晶器
gray butcherbird:  灰钟鹊
gray junglefowl:  灰原鸡
gray woodpecker:  灰啄木
Example Sentences:
1.Usually , gray information is taken into account only in the pixel - dependent unsupervised algorithm , ignoring the characteristics of neighboring pixels
基于像素的非监督变化检测方法,通常只考虑差异图象灰度信息,没有考虑其邻域特征。
2.Not only does this method take gray information into account but it also make use of image feature . compared with conventional methods , this method gains a better accuracy , efficiency and reliability
这种方法不仅考虑灰度信息而且顾及影像特征,利用该方法匹配的结果在精度、速度、可靠性方面比传统方法有明显的提高。
3.According to human vision character rgb color space is converted to hsv color space . instead of the gray information , the hue information is used as the model parameter
首先从人眼视觉特征出发,将彩色视频序列从rgb颜色模型转换到hsv颜色模型,选择色调属性作为基本的识别参数,用色调信息取代主动形状模型中原本使用的灰度信息。
4.Based on the idea of the information fusion , this paper proposes the image segmentation algorithm , which uses fusion of gray information and texture information . and it takes the pixel fusion technology . all this boosts up the image object
基于信息融合的观点,本文提出了融合灰度信息与纹理信息的图像分割方法,并且采取像素级融合技术,使得图像中的目标得到了增强。
5.And the region - dependent unsupervised algorithms are used in most precise detection applications . both gray information and adjacent pixels characteristic are taken into account in the algorithm , so the detection precision and anti - noise capability can be improved
一般较精确的检测都是采用基于区域的非监督变化检测方法,既考虑差异图象灰度信息,又考虑了其邻域特性,一定程度上可以提高检测精度、增强抗噪性能。
6.Firstly , we accurately locate the pupils of eyes in the face image according to the proportion relationship of face features and gray information . then we normalize the rotation , scale and grayscale of face image . we recognize human face using the method based on embedded hidden markov model ( ehmm ) that used the 2d - dct coefficients as the observation feature
其次在对人脸检测和识别技术研究中,详细介绍了人脸检测技术的研究现状,在使用viola提出的基于haar - like特征的人脸检测方法进行自动人脸检测之后,提出了一种基于人眼定位的有效人脸图像归一化算法,可以准确检测人眼瞳孔位置,并在此基础上对人脸图像作旋转、尺度和灰度的归一化校正,并且用基于2d - dct特征提取和ehmm人脸识别方法作人脸的分类识别进行了试验。
7.Aiming at the problem of a lot of information loss during the period of image segmentation , the paper proposed a fuzzy clustering segmentation method based on d - s evidence theory , and adopted d - s evidence theory to integrate the pixels " gray information with the spacial correlation information , and gained a satisfactory result
针对二维直方图在模糊化过程中仍存在大量信息损失的问题,引入了d ? s证据理论来融合图像像素灰度信息和空间相关信息,提出了一种基于d ? s证据理论的模糊聚类图像分割方法,取得了不错的分割效果。
8.In this thesis , some key issues of the vr technique are systematically investigated . firstly , for the image filters and image interpolation between slices , a integrated interpolation algorithm is presented based on the contour shape and correspondence matching , which keeps the shapes and grays information the objects of interest . secondly , the fidelity of effect of the vr for medical images is studied , and a continuous - gradient - based method for transparent volume rendering is proposed , which vivifies the results of volume rendering
首先,研究了医学断层图像数据的滤波及层间插值技术,提出了一种基于轮廓形变和对应点匹配相结合的混合插值算法,在实现图像层间插值的同时保持了目标的轮廓形状与灰度信息;其次,对医学影像容积重建效果的逼真度进行了研究,提出了一种基于连续梯度转换函数的交互式透明体绘制方法,使重建效果更加生动、真实。
9.Due to the image exists the instances of spin and distortion , in order adopting part small template proceed matching in order to reduce thereof impacts by as possible , besides small template matching may decrease calculation quantity , and it is propitious to real time of matching . looking into be on the impact of illumination , chromatism , under cloak circumstance template size and quantity select versus matching rate . matching primitive chooses gray , gray information measure large and most easy to obtain , but it is rather effected by illumination condition and chromatism , maximum matching rate restricted to 70 %
瓷砖缺陷检测采用待测图像与标准图像作差法,作差法对匹配精度要求较高,因此在匹配误差存在的点进一步做了亚像素级的匹配;导弹目标识别,采用背景匹配的方法,统计背景移动距离指导目标的识别;丛林中移动目标识别,采用作差法找到目标区和背景区,分别采用不同的模板和阈值匹配,统计目标区匹配结果。
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