针对机器人焊接中的激光结构光焊缝图像，提出了数学形态学滤波去噪方法。
Aiming at the welding image produced by laser structure light under robotic welding, it introduces a noise filter method based on Mathematical Morphology.
提出用装药区定位、减影，滤波去噪、三值化等图象预处理方法增强图象中的疵病信息；
The processing methods that enhance the image of defective areas in the radiographs , such as charge region fixation , image substraction , image filtration , image trinization , are presented .
通过对测试信号进行分析，发现信号经二级自适应滤波去噪后，可得到更好的检出效果。
It is also found that the better recognition effects can be obtained when the signal's noise was cut off by the two-level adaptive filter.
测试精度可通过设置参比光纤、提高定位精度、完善铺设工艺及滤波去噪等方法进行提高。
The test error can be eliminated by setting comparative optical fiber, raising position-setting precision, consummating the sensing techniques, filtering wave, and denoising, among others.
采用频域正则化求逆和小波域维纳滤波去噪的方法对已知线性降晰模型的含噪图像进行图像复原。
Image is restored which is blurred by the known linear model and noise, with the method of frequency-domain regularized inversion and wavelet-domain wiener filter denoising.
图像的消噪实验表明，小波变换用于图像消噪效果优于均值滤波，与中值滤波去噪相比无明显差别。
Image denoising experiments show that wavelet transform for image denoising is better than mean filtering, no significant difference compared with median filter.
指纹图像的预处理又可以分为灰度图滤波去噪、二值化、二值化图像去噪、细化和细化后去噪五个部分。
Fingerprint image pre-processing has five parts: filtration in gray-scale image, binarization, filtration in binary image, thinning and filtration in thinning image.
本文介绍了一种应用数学形态学对粒子图像进行预处理的方法，并与维纳去噪、中值滤波去噪进行了对比。
Mathematical Morphology on the pre-processing particle-image, and the results were compared with that of Wiener and median filter.
阈值法去噪比传统的滤波去噪方法效果大有改善，尽管不能尽善尽美，但基本上能够满足工程应用的实际需要。
The threshold method is better than traditional de-noising method and can meet requests of engineering application basically, although it is not perfect.
重点研究图像的预处理增强算法和二值化算法，根据指纹图像的方向性信息求出方向图，并利用方向滤波器对原图像进行滤波去噪。
Enhancement and binarization algorithm are the emphases among them. According to fingerprint feature, orientation map is calculated, and image is denoised by orientation filters.
对视频采集到的板材纹理图像进行灰度化、中值滤波去噪、二值化、腐蚀、膨胀等处理，得到仅包含目标纹理的图像后检测纹理边缘。
Treat with plate grain image got by video using methods of gray level transformation, median filter, erosion, expansion and so on, gain the image which only includes grain, then detect brim of grain.
根据经典总体变差恢复模型，设计了一种新型的应用于图像去噪的数字TV滤波器的一种算法。
Based on the classical total variation restoration model, we design a new nonlinear algorithm of digital TV filter for image de-noising.
针对炮弹装药疵病自动检测特点提出了用带空间选择性的去噪滤波算法对炮弹装药射线图像降噪。
The algorithm of spatially selective noise filtration is used to reduce noise of X-ray image according to the feature of automatic inspection of ammunition flaw.
基于EMD时间尺度滤波特性，在引入相关度分析的基础上提出了EMD相关度去噪方法。
Based on the idea of the correlation degree and the EMD (Empirical Mode Decompositon) time scale filtering, the EMD de-noising method based on the correlation degree is proposed.
方向平滑滤波器兼有去噪和边缘保持的双重特性，在数字图像预处理中被经常采用。
Directional smoothing filter is frequently used in digital image processing for it has the double properties of noise filtering and edge preserving.
实验结果表明，该方法比中值滤波具有更好的去噪效果。
Experimental results demonstrate that this method is more valid than medium value filtering.
仿真结果显示，复合余弦基神经网络图像去噪滤波器各项特性接近理想滤波器。
The simulation results reached nearly ideal filter characteristics, and the performance of removing image noise using this filter was compared with the median filter.
该算法釆用线状掩模窗口和最优融合估计方法，有效地增强了边缘保持能力和去噪能力，克服了边缘保持滤波器存在的缺陷。
By using linear mask and the optimal fusion estimation, this algorithm improves the ability of edge keeping and denoising effectively, overcomes the disadvantages of the edge keeping filter.
针对小波变换多分辨分析(mra)的特点，本文提出一种多尺度分级的自适应模糊权重中值滤波的去噪方法。
According to the feature of the MRA, this paper presents a noise filtering method of adaptive fuzzy threshold for wavelet classification base on multi resolution.
本文采用中值滤波对图像进行了平滑、去噪处理。
在此基于小波域隐马尔可夫树模型，将贝叶斯估计和同态滤波思想有机结合，提出一种新的医学超声图像去噪方法。
Based on wavelet domain Hidden Markov model, a novel speckle suppression method for medical ultrasound images is presented which combines Bayesian estimation and homomorphic filtering.
在分析经典中值滤波技术的基础上，提出了一种自适应加权自适应加权去噪滤波方法，取得了满意的结果。
Based on the classical median filtering, an adaptive and weighting filter method is proposed which works well in experiments.
这样可以得到许多滤波图像，然后根据图像信噪比PSNR和视觉效果，最终确定去噪效果最好的农产品图像。
In this way, people can have many filtering images, then finally made sure the best denoised agricultural product images according to image signal-to-noise (PSNR) and visual effect.
在获取分割后的二值化图像中，采用了形态学滤波算子进行去噪，然后利用二值图像投影变换，并参考石块底部阴影位置信息，辅助完成对部分场景下的石块识别和定位。
Binary image is filtered by utilizing morphological filter. Then, using the information of stone shadow and projection transform, detection and position of stone is utilized in part environment.
文中在分析传统的去噪处理算法和自适应中值滤波算法的（AMF）基础上，提出了一种自适应加权的遥感图像去噪滤波方法。
In this paper, based on the analysis of the usual smoothing filter and adaptive median filter (AMF), a novel adaptive, weighting filter (AWF)scheme for RS image denoising is presented.
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.
结合中值滤波与小波去噪分别去除椒盐噪声和高斯噪声中的优势，提出了一种指纹图像混合去噪算法，并对其中的关键步骤进行了详细分析。
Combining the advantages of median filtering and wavelet transform in denoising salt and pepper and gauss noise, bring up a sort of mixing denoise algorithm, and analyze the critical steps on detail.
图像预处理采用平均滤波算子图像去噪、边界锐化以提高图像质量。
In the process of pretreatment, noise lowering and edge sharpening of images is realized with average filtering waves operator to. enhance the image quality.
图像预处理采用平均滤波算子图像去噪、边界锐化以提高图像质量。
In the process of pretreatment, noise lowering and edge sharpening of images is realized with average filtering waves operator to. enhance the image quality.
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