Description: 数字图像邻域平均法去噪的实现(包括有Ｍ文件和图像)-neighborhood Digital Image Denoising the average realized (including M documents and images) Platform: |
Size: 160552 |
Author:zql |
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Description: 数字图像邻域平均法去噪的实现(包括有Ｍ文件和图像)-neighborhood Digital Image Denoising the average realized (including M documents and images) Platform: |
Size: 160768 |
Author:zql |
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Description: 图片去噪：对一幅图像加入不同的噪声（随机点噪声、椒盐噪声等），选取不同的方法去噪，比如说邻域平均、中值滤波、图像迭加等，比较对于不同的噪声，不同的方法哪种更好-Image denoising: for an image by adding different noise (random-dot noise, salt and pepper noise, etc.), select a different method of denoising, for example, the neighborhood average, median filter, image superposition and so on, compared for different noise, different methods which better Platform: |
Size: 754688 |
Author:郑文 |
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Description: 该程序描述了用不同窗口的邻域平均滤波，来实现对含噪声图像的去噪处理，效果很好！-Description of the program window with different neighborhood average filter, to achieve denoising images with noise to deal with, very good! Platform: |
Size: 50176 |
Author:lejing |
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Description: 1.运用Laplacian算子，基于二阶微分的图像增强，即拉氏变换法进行图像平滑
2.利用邻域平均法实现图像的平滑处理
3.利用Robert算子做锐化处理-1. The use of Laplacian operator, based on second-order differential of the image enhancement, that is, Laplace transform method for image smoothing 2. The use of neighborhood average method of smoothing image 3. The use of Robert sharpening operator to do Platform: |
Size: 1024 |
Author:虞佳霓 |
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Description: 所给程序中，先给出一副原始图像，在其中添加椒盐噪声，然后用几种方法进行平滑滤波，包括邻域均值法，邻域中值滤波和K邻域均值滤波，其中的K邻域均值滤波所选掩膜为3*3，K值取5，图片选用board.ti。-Given program, the first is given an original image, in which the added salt & pepper noise, and then use several methods of smoothing, including the neighborhood average method, o-field value filtering and K neighborhood mean filter, where K o domain mean filter mask for the selected 3* 3, K value of taking five, picture selection board.ti. Platform: |
Size: 136192 |
Author:hanyantao |
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Description: Matlab环境下的几个数字图像处理实验，包含图像灰度变换、直方图均衡化、直方图匹配、邻域平均、局域增强、中值滤波、图像的锐化等-Matlab environment, several digital image processing experiments, including the image gray level transformation, histogram equalization, histogram matching, neighborhood average, local enhancement, median filtering, image sharpening, etc. Platform: |
Size: 5100544 |
Author:王宇歆 |
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Description: 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. Two pairs of images were used noise pollution neighborhood average, median filtering, K close to the average method to smooth. 3 on an image using Roberts gradient method, Sobel operator and Laplacian sharpening, and compare the results. Laws dealing with the source image capture and processing results. Platform: |
Size: 281600 |
Author:刘雨相 |
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Description: 提供了邻域平均法、中值法两种平滑滤波方法，其中中值法可以随意进行3/5/7等邻域大小的滤波-Provides a neighborhood average, median filtering method and French, in which the median method can be free to 3/5/7 and so the size of the filter neighborhood Platform: |
Size: 1024 |
Author:李林 |
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Description:
第一章作业：
用C语言或者VC，VB，Matlab或其他语言完
成如下实验：
1）打开一个BMP文件
2）将其局部区域的灰度值进行改变
3）另存为一个新的BMP文件
要求显示出原BMP图像和新BMP图像。
1。打开一幅图像，添加椒盐、高斯噪声，然后使用邻域平均法、中值滤波法、K邻近平均法进行平滑。
2。打开一幅图像，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。
第五章作业
编写一个程序，对输入的图像进行哈夫曼编码，显示原图像的熵、编码后的平均码字长度、并能够根据编码重建出图像。
在图像中生成一个矩形，然后用模板匹配法找出矩形位置。使用SSDA或改进SSDA法。
第五章作业
编写一个程序，对输入的图像进行哈夫曼编码，显示原图像的熵、编码后的平均码字长度、并能够根据编码重建出图像。
-Chapter operations: in C or VC, VB, Matlab or other languages to complete the following experiment: 1) open a BMP file 2) the gray value of its local area to change 3) Save as a new requirements display BMP files the original BMP image and the new BMP image. 1. Open an image, add salt and pepper, Gaussian noise, and then use the neighborhood average, median filtering, K adjacent average smoothing. 2. Open the image using the Roberts gradient, Sobel operator and Laplacian sharpening, and compare the results. Chapter operations to write a program, the input image Huffman, display the original image entropy encoded average code word length, and be able to reconstruct the image according to encoding. Generate a rectangle in the image, then use template matching to identify position of the rectangle. Or improved using the SSDA SSDA method. Chapter operations to write a program, the input image Huffman, display the original image entropy encoded average code word length, and be Platform: |
Size: 6144 |
Author:杨智雄 |
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Description: 基于matlab软件，利用邻域平均法对图像高斯噪声进行去噪处理。(Based on MATLAB software, the neighborhood average method is used to denoise the image Gauss noise) Platform: |
Size: 10240 |
Author:douhaiming123
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Description: 1. 均值滤波：即线性滤波，有: a.邻域平均, b. 加权平均两种。
a. 邻域平均：用一个像素邻域平均值作为滤波结果，此时滤波器模板的所系数都取1，为保证输出图仍在原来的灰度值范围，在算得R后要将其除以系数总个数再进行赋值，对3*3的模板来说，在算得R后要将其除以系数9。
b. 加权平均：对同一尺寸的模板，可对不同位置的系数采用不同的数值，一般认为离对应模板中心像素近的像素应对滤波结果又较大贡献，所以接近模板中心的系数可比较大而模板边界附近的系数应比较小。(1. mean filtering: linear filtering, there are a. neighborhood averages and two B. weighted averages.
A. neighborhood average with a pixel neighborhood average value as the filtering results, the filter of the template coefficient is 1, in order to ensure the output figure is still in the original gray value range, to be divided by the total number of coefficients and then assign it in R, on the 3*3 template, to be divided by the coefficient in 9 was R.
B.: the weighted average of the same size of the template, the coefficients can be in different positions with different values, generally from the template corresponding to the center pixel near pixel filtering results and a larger contribution to deal with, so close to the center of the template coefficient is relatively large and near the boundary line template number should be relatively small.
Take the 3*3 template as an example:) Platform: |
Size: 2048 |
Author:大学城古天乐
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Search - neighborhood average matlab