function I=imgaussian(I,sigma,siz) % IMGAUSSIAN filters an 1D, 2D color/greyscale or 3D image with an % Gaussian filter. This function uses for filtering IMFILTER or if % compiled the fast mex code imgaussian.c . Instead of using a % multidimensional gaussian kernel, it uses the fact that a Gaussian % filter can be separated in 1D gaussian kernels. % % J=IMGAUSSIAN(I,SIGMA,SIZE) % % inputs, % I: The 1D, 2D greyscale/color, or 3D input image with % data type Single or Double %一维、二维或是三维的输入图像 % SIGMA: The sigma used for the Gaussian kernel %标准差 % SIZE: Kernel size (single value) (default: sigma*6) % 默认的高斯核大小是sigma*6 % outputs, % J: The gaussian filtered image %输出滤波后的图像 % note, compile the code with: mex imgaussian.c -v % % example, % I = im2double(imread('peppers.png')); % figure, imshow(imgaussian(I,10)); % % Function is written by D.Kroon University of Twente (September 2009) if(~exist('siz','var')), siz=sigma*6; end if(sigma>0) % Make 1D Gaussian kernel x=-ceil(siz/2):ceil(siz/2); H = exp(-(x.^2/(2*sigma^2))); H = H/sum(H(:));%归一化的一步 % Filter each dimension with the 1D Gaussian kernels\ if(ndims(I)==1) I=imfilter(I,H, 'same' ,'replicate'); elseif(ndims(I)==2) Hx=reshape(H,[length(H) 1]); Hy=reshape(H,[1 length(H)]); I=imfilter(imfilter(I,Hx, 'same' ,'replicate'),Hy, 'same' ,'replicate'); elseif(ndims(I)==3) if(size(I,3)<4) % Detect if 3D or color image Hx=reshape(H,[length(H) 1]); Hy=reshape(H,[1 length(H)]); for k=1:size(I,3) I(:,:,k)=imfilter(imfilter(I(:,:,k),Hx, 'same' ,'replicate'),Hy, 'same' ,'replicate'); end else Hx=reshape(H,[length(H) 1 1]); Hy=reshape(H,[1 length(H) 1]); Hz=reshape(H,[1 1 length(H)]); I=imfilter(imfilter(imfilter(I,Hx, 'same' ,'replicate'),Hy, 'same' ,'replicate'),Hz, 'same' ,'replicate'); end else error('imgaussian:input','unsupported input dimension'); end end
先是对行进行卷积,再是对列进行卷积。