方法/步骤 1 打开matlab工作界面 2 输入下面代码：OriImage=imread('lena.jpg');sigma = 1.6;grayImg=rgb2gray(OriImage);gausFilter = fspecial('gaussian',[5 5],sigma);blur=imfilter(grayImg,gausFilter,'replicate');imshow(blur)3 显示的图片即为高斯滤波的图片，高斯...
OriImage=imread('D:\图片\Pinned\2_110624211810_1.jpg'); %读入图片 sigma1 = 10; %高斯正态分布标准差 grayImg=rgb2gray(OriImage); %转为灰度图像 gausFilter = fspecial('gaussian',[5 5],sigma1); %高斯滤波 blur=imfilter(grayImg,gausFilter,'replicate'); %对任意类型数组或多维图像进行滤波 im...
gaussianFilter = fspecial('gaussian', filterSize, sigma); % 读取待处理的图像 image = imread('image.jpg'); % 对图像进行高斯滤波 filteredImage = imfilter(image, gaussianFilter, 'replicate'); % 显示原始图像和滤波后的图像 subplot(1, 2, 1); imshow(image); title('原始图像'); subplot(1, ...
gaussian_filter_button = uicontrol('Style', 'pushbutton', 'String', '高斯滤波', 'Position', [450, 450, 100, 30], 'Callback', @gaussian_filter); wiener_filter_button = uicontrol('Style', 'pushbutton', 'String', '维纳滤波', 'Position', [560, 450, 100, 30], 'Callback', @wie...
Image = imread([pathname, filename]); [m, n, z] = size(Image); %转换为灰度图 if z>1 Image = rgb2gray(Image); end sigma = 1; gausFilter = fspecial('gaussian', [5,5], sigma); gaus= imfilter(Image, gausFilter, 'replicate'); ...
subplot(122),imshow(Ir,[]),title('Gaussian Filter Image'); %% (2)利用Sobel算子计算图像img和Ir的梯度图像G和Gr G = edge(img,'sobel'); %用Sobel算子求梯度图像 Gr= edge(Ir,'sobel'); figure, subplot(121),imshow(G),title('G'); ...
const int w_filter = 2 * r + 1; // 滤波器边长 double gaussian_d_coeff = -0.5 / (sigma_d * sigma_d); double gaussian_r_coeff = -0.5 / (sigma_r * sigma_r); double **d_metrix = new double *[w_filter]; for (int i = 0; i < w_filter; ++i) ...
end Image = imread([pathname, filename]); [m, n, z] = size(Image); %转换为灰度图 if z>1 Image = rgb2gray(Image); end sigma = 1; gausFilter = fspecial('gaussian', [5,5], sigma); gaus= imfilter(Image, gausFilter, 'replicate'); %显示图像--- figure(1) subplot(1,2,1); i...
gaussian_img =imfilter(img, gaussian_filter); ``` 好的,作为您的图像处理老师,我很乐意为您介绍边缘检测和形态学处理,并附上相应的代码。以下是边缘检测和形态学处理的详细介绍: # 边缘检测 边缘检测是一种常见的图像处理技术,用于检测图像中的边缘。在Matlab中,可以使用Sobel、Prewitt、Laplacian等算子实现边缘...
OriImage=imread('D:\图片\Pinned\2_110624211810_1.jpg'); %读入图片 sigma1 = 10; %高斯正态分布标准差 grayImg=rgb2gray(OriImage); %转为灰度图像 gausFilter = fspecial('gaussian',[5 5],sigma1); %高斯滤波 blur=imfilter(grayImg,gausFilter,'replicate'); %对任意类型数组或多维图像进行滤波 im...