采用不同模板的均值滤波器和高斯滤波器来增强图像。
Textile images were enhanced by using mean filter and gaussian filter with different templates.
论文提出一种基于高斯滤波器的尺度相乘边缘检测算法。
This paper presents an algorithm to edge detection by scale multiplication based on Gaussian filter.
并且利用零阶开环高斯滤波算法，对低通滤波图像的边缘进行了修正。
The algorithm of zero-order Gaussian filtering for an open profile (GFO) was used to correct the edge of the filtered image.
提出了一种减小表面粗糙度测量用的高斯滤波器幅度传输特性偏差的新方法。
A new approach for decreasing the amplitude characteristic deviation of Gaussian filter in surface roughness measurements is presented.
该图象去噪方法同传统的中值滤波、高斯滤波相比，具有保形、保对比度的特点。
To compare with traditional medial filter and Gaussian filter, the image denoising method based on set operator has the characteristics of shape preserving and contrast invariant.
实验表明，与传统的高斯滤波方法相比，新方法算法简单，计算效率高，且易于实现。
The experiment shows that the new method is more efficient and easier to realize than the conventional Gaussian filtering methods.
以表面轮廓信号为例，结合图形和参数评估，研究了异常信号对高斯滤波性能的影响。
Taking the surface profile signal as an example, it analyzes the influence of outliers on the performance of Gaussian filtering with the help of the illustrations and evaluation parameters.
根据三角窗函数的对称性和三角滤波器的递归性，给出了高斯滤波器的实用逼近算法。
According to the symmetry of the triangle window function and the recurrence relations of triangle filter, the practical algorithm of the approximated Gaussian filter is obtained.
对快鸟影像进行正射校正，运用高斯滤波进行图像增强，减少噪音，增强退耕地的树冠信息。
Gaussian filter was applied to the image to improve the tree crown information and control image noise.
主要工作如下：（1）通过几种常见滤波方法的实验与分析，改进了中值滤波法和高斯滤波法。
The main tasks are as follows:(1) According to experiment and analyzing of several common filtering methods, median filter method and Gaussian filter method were improved in this paper.
本文介绍了GMSK调制方式的特点，给出了高斯滤波器BT值与GMSK调制方式性能的关系。
This paper introduces the characteristics of GMSK modulation, discusses the relationship between Gaussian Filter BT value and the performances of GMSK modulation.
提出一种“高斯滤波”的方法去除这些白点，使二值化图像平滑、少毛刺，并具有较好的连通性。
But after the Gauss filter process, the threshold image is changed into smooth one which has smaller burr and has better connectedness.
在中心极限定理和逼近理论的基础上，提出了一种用三角滤波器的级联来实现高斯滤波器的新方法。
On the basis of the central limit theorem and approximation theory, a new implementation of the Gaussian filter by cascaded triangle filters is presented.
对中值滤波、均值滤波和高斯滤波的去噪效果进行了比较和分析，并将其应用到声呐图像的平滑过程中。
The results of noise reduction with a median filter, a average filter and a gauss filter are analyzed. The author applies these algorithms to the sonar image smoothing.
引入稳健统计学的思想，对高斯滤波进行了稳健处理，并比较了几种稳健估计权函数对高斯滤波性能的改进。
Robust statistics is introduced to enhance the robustness of Gaussian filtering. Several selected robust weight functions are adopted and compared.
该方法采用自适应高斯滤波器对原始曲线进行平滑处理以消除噪声影响，并提出了一种适合于圆弧曲线拟合的分段算法。
This method adopts self-adaptive gauss filter to process original curve smoothly to eliminate noise effects, and proposes a fragrmented algorithm that is adaptive to circular arc.
该方法克服了均值漂移滤波存在块状效应的缺点。实验结果表明，该方法的整体性能优于均值漂移滤波、高斯滤波和中值滤波。
Experiments show that his method overcomes the defect of blocky effect in mean shift filtering, and is superior to mean shift filtering, Gaussian scale space filtering and median filter.
根据视觉测量图像质量较好及以高斯噪声为主的特点，提出采用简单的高斯滤波或者SUSAN去噪算法对图像在卡尺范围内进行滤波处理的方法。
The simple GAUSS filter or SUSAN filter will be used to removal the noise in the calipers scope according the characteristic of image quality and GAUSS noise.
研究了均值滤波、SUSAN滤波、高斯滤波和中值滤波技术，对缺陷图像进行了平滑去噪处理，最后选用快速中值滤波并取得了良好的效果，为下一步图像分割打好了基础。
The paper studies mean filter, SUSAN filter, median filter and gauss filter technology, and selects the fast median filter to get good smoothing result of pavement image.
其次滤除受高斯噪声污染的像素点，采用对称近邻均值滤波算法。
Following that the Gaussian noises are filtered out by symmetrical-neighbor mean filtering.
利用真实舰船航行辐射噪声作为目标及干扰，正态分布高斯白噪声作为噪声背景，在基元等间隔线阵上实现了最佳空间滤波器。
The realization of OSF in the case of real target radiated noise in the background of Gaussian white noise for equal spaced line array is illustrated.
实验结果表明，与传统的中值滤波和均值滤波算法相比，该算法能够有效地去除高斯和脉冲噪声，同时能够保留更多的图像细节信息。
As a result, the experiment shows that the algorithm can effectively filter out Gaussian and impulse noises, as well as preserve more detailed information of the original image.
该算法可以直接应用于原系统的非线性模型当中，并且不需考虑系统噪声和量测噪声是否为高斯白噪声，都能得到很好的滤波效果。
It could be directly applied to the nonlinear model of the initial system, and could get good filtering result whether the system noise or measured noise was Gaussian or not.
后者直接应用广义s变换的时频谱实现，用于含高斯白噪声信号的滤波，达到了突出有效信号和压制噪声的效果。
Another applied in filtering signal containing Gaussian white noise is computed directly by utilizing time-frequency spectrum of GST, which can enhance non-stationary signal and suppress noise.
在水印算法中用奇异值分解可以提高图像的抗几何失真性，但它对椒盐、高斯、滤波等攻击的抵抗能力却很弱。
Use singular value decomposition (SVD) in the watermark algorithm may enhance the anti-geometry distortion of the image, but it is very weak to some attacks such as salt, gauss, filter and etc.
目前在信息融合领域广泛使用的融合算法是卡尔曼滤波，它在线性高斯模型下能得到最优估计，但在非线性非高斯模型下则无法应用。
The Kalman Filter is widely applied in the Information Fusion at the present, which can get the optimal estimate in the Linear-Gaussian model, but not applied in the nonlinear and non-Gaussian model.
针对肝脏B超声图像的特点，本文在对图像进行预处理时采用了高斯低通滤波与灰度拉伸相结合的技术。
For the feature of the liver B-ultrasound image, we adopt the Gaussian low-pass filter and contrast-stretching transformation methods.
粒子滤波算法由于其在非线性、非高斯模型中所表现出的优良性能，使得其越来越受到人们的重视。
Particle filter algorithm has shown its good performance in non-linear and non-Gaussian models and is paid more and more attention.
粒子滤波算法由于其在非线性、非高斯模型中所表现出的优良性能，使得其越来越受到人们的重视。
Particle filter algorithm has shown its good performance in non-linear and non-Gaussian models and is paid more and more attention.
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