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lessonresouse
- 程序代码说明 P0301:数字图像矩阵数据的显示及其傅立叶变换 P0302:二维离散余弦变换的图像压缩 P0303:采用灰度变换的方法增强图像的对比度 P0304:直方图均匀化 P0305:模拟图像受高斯白噪声和椒盐噪声的影响 P0306:采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307:采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308:图像的自适应魏纳滤波
matlab-view
- matlab的 视觉 程序 可以带有一个高斯滤波-Matlab visual procedures with a Gaussian filter
W-Filter
- 程序包括有维纳滤波,中值滤波,高斯变换,DFT变换等等图像滤波源代码-Procedures include Wiener filtering, median filtering, Gaussian transform, DFT transform source image filtering, etc.
chap
- P0301:数字图像矩阵数据的显示及其傅立叶变换 P0302:二维离散余弦变换的图像压缩 P0303:采用灰度变换的方法增强图像的对比度 P0304:直方图均匀化 P0305:模拟图像受高斯白噪声和椒盐噪声的影响 P0306:采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307:采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308:图像的自适应魏纳滤波 P030
image_pro_4_1_hjs
- 用Matlab实现的对灰度图像高斯低通滤波,可以自己修改参数-Gaussian low-pass filtering of grayscale images with Matlab, can modify the parameters
image_pro_4_2_hjs
- 用Matlab实现的对图像进行二阶巴特沃斯高通滤波,并直方图均衡化-Second-order Butterworth high-pass filter using Matlab realized on image and histogram equalization
guass
- 高斯平滑滤波的matlab程序,对于初学者很有帮助-Gaussian smoothing filter matlab program, useful for beginners
Matlab-program-gray-edge-detection
- 本文主要讨论获得图片后如何提取其边界信息,首先利用图像灰度均匀化解决了对比度不清晰的问题,然后利用高斯滤波法对图片进行滤波去噪,进而利用Canny算法实现边缘检测提取边界,该方法与Matlab自带的求边界方法有明显的提高,为利用Matlab程序求图像分形维数提供了更精确的前提。-This article focuses on how to get the image to extract the boundary information, the first to use to the gray
zibian_gaussfilt
- 在matlab环境下,自编的高斯滤波函数,其中的二维卷积运算也是自编的,没有使用matlab自带conv2函数。-In the matlab environment, self-Gaussian filter function, which is a two-dimensional convolution self, without using matlab built conv2 function.
1111
- matlab--巴特沃斯高通滤波算法来增强图像-Matlab, butterworth high pass filter algorithm to enhance image
filter
- matlab对图像随机添加四种噪声,然后分别通过自编中值滤波,均值滤波,高斯滤波,和维纳滤波进行滤波-matlab add four random noise to the image, and then were filtered by self median filtering, mean filtering, Gaussian filtering, and Wiener filtering
filter
- 这篇文章主要是写了MATLAB中各类滤波器的编写,包括均值滤波,高斯滤波等。-This article mainly wrote MATLAB in writing of all kinds of filter, including median filter, gauss filter, etc.