An improving noise eliminated difference template based on the analysis of object and background gray value also has been developed to eliminate the low frequency noise in image.
对图像中的低频噪声，基于对图像中目标与背景灰度值特点的分析，提出了改进的差分去噪声模板。
Click on an area of the object that should be white or light gray.
单击应设为白色或浅灰色的对象中的区域。
The color object. The color information represented by this object is in the device gray colorspace.
一个颜色对象。颜色信息表现为它在设备中的灰度颜色空间信息。
An initialized color object. The color information represented by this object is in the device gray colorspace.
一个初始的颜色对象。这个颜色对象信息引用自系统的灰度通道。
The attenuation of X-ray through the object is non-linear and the gray level of image is non-linear response of object thickness.
射线穿过物体的衰减是非线性的，经过影像系统得到的图像灰度与物体厚度是非线性的关系；
Usually, object features include gray-scale (density, colour), feature, geometry shape, and so on.
常见的目标特征可分为灰度(密度、颜色)特征、纹理特征和几何形状特征等。
ICT can detect gray image of the object's layer and does not destruct the object in the same time. ICT distinguish object layer's geometrical structure, material and defect type by gray.
ICT是在无损状态下检测物体断层的灰度图像，以其灰度来分辨被检测断面内部的几何结构、材质情况、缺陷种类等。
Aiming at the distribution characteristic of pixel gray level in tested data, this paper proposes a valid and reliable searching and tracking policy for the object contour.
针对实验数据像素灰度的分布特点，提出了一种对目标轮廓线进行有效和可靠的搜索和跟踪策略。
It is very difficult to obtain the accurate borderline of object When distilling the borderline of object with less gray level from its intensity image with disturbance.
用强度图像提取景物边界的主要缺点是当景物间灰度差较小以及噪声存在时，很难得到精确的边界。
Local gray histogram statistics is applied to object detection in the images with multi-scale fractal feature.
在多尺度分形新特征图像中采用局部直方图统计方法进行目标检测。
In essence, the algorithm is the extension of those algorithms which segment object in a textured background by assuming the average gray levels of the object and the background are different.
这种算法本质上是从灰度分布来分割物体的算法的推广，它不仅适用于背景纹理灰度与物体表面灰度不同的图象，而且适用于背景平均灰度与物体表面平均灰度相同的图象。
In the process of object detection, the inter-frame difference object detection method and symmetrical inter-frame difference object detection method based on gray were used respectively.
在目标检测过程中，分别利用单目视觉下基于灰度的连续帧间差分法和对称差分法实现了目标检测。
Compared with the results based on traditional gray background difference, the method in this thesis has realized precise tracking of single object and multi-object with simple occlusion.
通过与传统的基于灰度背景差分方法的结果进行对比发现，本文采用的方法可以比较精确的实现对单个和多个目标以及简单遮挡情况下的跟踪。
Moreover, a method of measuring the degree of bilateral symmetry in gray-scale images is put forward which makes full use of the intensity values of object.
同时文中还提出一种充分利用图像灰度信息来度量图像双边对称性的方法。
This paper mainly studies the extraction of high-altitude targets, particularly for airspace object because of the gray level difference of target and background.
本文主要研究对空域目标的提取，针对空域目标和背景特殊的灰度差异性对目标进行分离。
This paper mainly studies the extraction of high-altitude targets, particularly for airspace object because of the gray level difference of target and background.
本文主要研究对空域目标的提取，针对空域目标和背景特殊的灰度差异性对目标进行分离。
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