median filtering信息详情
中值过滤
[电子]中值滤波
median───adj.中值的,中间的;中位数的;在中央的,通过中点的;n.(Median)(美、罗马尼亚、西)梅迪安(人名);n.中值,中位数;(三角形的)中线;梯形中位线
filtering carbon───过滤碳
median price───[经] 中数价格
morphological filtering───形态滤波
anthropic filtering───人为过滤
median filter───[计]中值滤波器;[电子]中值滤波器
median finder───中值搜索器
median age───中位数年龄;中值年龄;年龄中位数
median calculator───中值计算器
A fast algorithm of median filtering is proposed.───提出了一种中值滤波的快速算法。
Median filtering is a nonlinear filtering method.───中值滤波是一种非线性滤波方法。
This paper proposes a median filtering algorithm base on impulse detection.───提出了一种基于噪声点检测的中值滤波算法。
Firstly, the impulse noises are filtered out by the median filtering method through determining the number of impulse dots.───算法首先滤除受脉冲噪声污染的像素点,采用基于个数判断脉冲噪声的中值滤波算法;
The new algorithm does not need to sort the pixel values in neighbourhood so as to greatly speed up the operation of median filtering.───该算法不需要对邻域内的像素值进行排序,消除了耗时的数据移动操作,从而提高了图像处理速度;
Based on types of each pixel, the result of the median filtering is modified using the detail image.───基于各像素点的类型,细节图像被用于修正中值滤波的结果。
Prepared in this experiment, a median filtering process, and salt and pepper noise generated by the image processing median filter.───本实验要求编写一个中值滤波的程序,并对产生的椒盐噪声的图像进行中值滤波处理。
Median filtering can get a good real-time background image from a short time video-steam if the moving objects are not very crowded.───视频流的一个小时间段的图像序列的中值滤波,可以在动态目标不是特别密集的情况下获得较好的实时更新的背景图像。
It combines adaptive morphological filtering and median filtering to detect the noise-containing regions and smooth them.───它结合了自适应形态滤波和中值滤波法检测噪声载区域和顺利它们。
An improved median filtering algorithm is presented in this paper.
At first, noise is reduced by median filtering. Secondly, the DQS (Difference Quadratic Sum) algorithm is presented to restrain the background noise and enhance the targets.
Template matching and median filtering are fundamental operations in image processing.
This paper presents a fast median filtering algorithm which analyzes neighborhoods to accelerate calculation of the median value of the set by using the mean value.
In order to avoid the error decision in the presence of noise, the median filtering and connected region labeling is operated to eliminate the random noise and false stationary regions.
Main functions include video images grayscale processing, video image median filtering, video image smoothing filtering, video image brightness processing, video RGB conversion and so on.
An improved median filtering based on a simple threshold is introduced by considering the difference in the noise disposal of the averaging method and the median filtering.
And the iterative median filtering algorithm is used when smoothing impulse noise.
Experimental results show that this scheme is robust to noise, median filtering, low-pass filtering, desynchronization attacks and so on.
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