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openCV图像处理，内含边缘检测、边缘分割、区域增长、高斯噪声、椒盐噪声消除以及自适应中值滤波函数的实现-openCV image processing, includes edge detection, edge segmentation, region growing, Gaussian noise, salt and pepper noise cancellation and adaptive median filter function implementation
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含有了图像处理中一些经典和常用的图像处理算法，如：灰度图像处理，图像增强，图像变换，形态学图像处理。其中灰度图像处理包含三个算法：彩色图转灰度图，灰度图直方图，直方图均衡化；图像增强含有：增加椒盐噪声，中值滤波，sobel算子边缘提取(水平方向和垂直方向一起考虑)，laplace算子边缘提取，模糊，锐化；图像变换含有：haar小波变换，RGB转HSV颜色空间。形态学图像处理含腐蚀，膨胀，开操作，闭操作。-Contains some of the classic image processing
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数字图像处理中的平滑和锐化（边缘检测）。包括1、添加椒盐、高斯噪声。2对噪声污染的图像分别使用邻域平均法、中值滤波法、K邻近平均法进行平滑。3对一幅图像利用Roberts梯度法、Sobel算子和拉普拉斯算子进行锐化，并比较结果。附处理源图像和处理结果截图。
-Digital image processing smoothing and sharpening (edge detection). Including 1, add salt and pepper, Gaussian noise.
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vc++数字图像编程基础，包括点运算、几何变换（平移、旋转、缩放、镜像）、正交变换（沃尔什、傅里叶、离散余弦）、图像增强（图像平滑、中值滤波、梯度锐化、拉普拉斯锐化）、形态学变换（腐蚀、膨胀、开、关）、边缘与轮廓（robert、sobel、frewit、kirsch、gauss-laplace边缘检测算子，hough变换，轮廓提取，轮廓跟踪）、图像分析（阈值分割、投影检测、差影检测、模板匹配）、图像复原（卷积模糊、逆滤波复原、维纳滤波复原，随机、椒盐噪声）、图像编码（赫夫曼编码、香农费诺编码、行
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基于opencv的图像和视频处理的软件。该软件实行了opencv的多种功能：边缘检测、拉氏变换、椒盐噪音、人脸识别、霍夫变换等功能。-Opencv-based image and video processing software. The software has multiple functions opencv: edge detection, Laplace transform, salt and pepper noise, face recognition, Hough transfo
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(1)利用高斯滤波器函数，用Matlab语言，编写Canny边缘检测器的Matlab（或C语言）函数；
(2)利用上述函数，对一副图像（椒盐噪声或高斯噪声）进行边缘检测；
(3)利用Matlab自带的Canny边缘检测函数对同一副图像进行边缘检测；
(4)比较上述两个结果。
-(1) the use of Gaussian filter function, using Matlab language, the preparation of Canny edge detector
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the use of Gaussian filter function, using Matlab language, the preparation of Canny edge detector Matlab (or C language) function (2) the use of the above-mentioned function, an image of the (salt and pepper noise or Gaussian noise) for edge detecti
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可以打开大部分图片格式包括bmp、jpg等，并对其进行图片的基本处理包括翻转、镜像、傅里叶变换、直方图统计及均衡化、锐化、柔化、加椒盐或高斯噪声、中值滤波、Sobel边缘检测、高斯边缘检测、灰度阀值边缘检测、区域生长、旋转、缩放等操作-Can open most image formats including bmp, jpg, etc., and its basic image processing including flip, mirror, Fourier transform, hist
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matlab code for adaptive impulse detection using center weighded median filter.this can be used for salt and pepper noise reduction i digital images.we are using center weighed median filter.
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pdf for adaptive impulse detection using center weighd median filter.this method can be used for removing salt and pepper noise from digital images.
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Mtalab初学者必读程序，其中包括直方图处理，边缘检测及图像增强，去除椒盐噪声三个基本的图像处理程序。-Mtalab the beginners must-read program, including histogram processing, edge detection and image enhancement, remove the salt and pepper noise three basic image processing program.
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对高斯噪声和椒盐噪声图像的中值滤波，均值滤波，拉普拉斯算子检测边缘等-Gaussian noise and salt and pepper noise image median filter, mean filter, Laplacian edge detection, etc.
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自己写的C语言susan角点检测，对椒盐噪声，及单直线都能很好的避免干扰。-My own C language susan corner detection of salt and pepper noise, and a single straight line can be good to avoid interference.
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In this project, Brain tumor in MRI is detected using image segmentation techniques. There are number of image segmentation techniques available but watershed segmentation is considered to be best among all. First of all prep-processing is to be done
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matlab实现图像去噪，滤波，边缘检测，锐化。文件中包含m码和程序中使用到的图片。对图像添加椒盐噪声并用medfilt2函数去噪。二阶巴特沃斯滤波器滤波。-matlab realize image denoising, filtering, edge detection, sharpening. M file contains code and procedures used to the picture. Add salt and pepper noise image with medfil
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Salt and Pepper Noise Detection and Removal in Gray Scale Images, An Experimental Analysis
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金属的Blob侦测，使用程序过滤图像上金属上的胡椒盐杂讯。-Blob metal detection, the use of salt and pepper noise filtering process on the image on the metal.
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matlab图像增强效果,包含加入椒盐噪声等，对比几种边缘检测算法的效果区别-
matlab图像增强效果,包含加入椒盐噪声等，对比几种边缘检测算法的效果区别
MATLAB image enhancement effect, including the addition of salt and pepper noise, compared to the effect of several edge detection algorithm
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图像分割噪声分析，算法对椒盐噪声的抗干扰性分析，图像反转线性变换，.梯度算子检测边缘(Analysis of image segmentation noise\,Algorithm for anti-interference analysis of salt and pepper noise,,image inversion linear transformation, gradient operator edge detection.)
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掌握基本数字水印和DCT数字水印的实现和检测方法；检验DCT数字水印，抵抗高斯噪声攻击、椒盐噪声攻击、剪切攻击和旋转攻击的能力。(Grasp the implementation and detection methods of basic digital watermarking and DCT digital watermarking, and test the ability of DCT digital watermarking to resist Gauss noise attack,
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