用於RGB圖像的Matlab低通濾波器

Question

我有這個代碼將執行圖像上的高斯濾波器（低通濾波器）。但是，此濾鏡僅適用於灰度圖像。我該如何改進它，以便它可以在彩色圖像上工作？我知道有很多內置函數，但我是圖像處理的新手，我正在嘗試學習基礎知識。

%Read an Image 
Img = imread('peppers.png'); 
Im = rgb2gray(Img); 
I = double(Im); 

%Design the Gaussian Kernel 
%Standard Deviation 
sigma = 1.76; 

%Window size 
sz = 4; 
[x,y]=meshgrid(-sz:sz,-sz:sz); 

M = size(x,1)-1; 
N = size(y,1)-1; 
Exp_comp = -(x.^2+y.^2)/(2*sigma*sigma); 
Kernel= exp(Exp_comp)/(2*pi*sigma*sigma); 

%Initialize 
Output=zeros(size(I)); 
%Pad the vector with zeros 
I = padarray(I,[sz sz]); 

%Convolution 
for i = 1:size(I,1)-M 
    for j =1:size(I,2)-N 
     Temp = I(i:i+M,j:j+M).*Kernel; 
     Output(i,j)=sum(Temp(:)); 
    end 
end 
%Image without Noise after Gaussian blur 
Output = uint8(Output); 
figure,imshow(Output); 

Answer 1

RGB圖像由紅，綠，藍色通道組成。對RGB圖像執行圖像處理

1. 你必須分離出圖像
2. 過程中的每個成分（R，G，B）一旦

3. reconstuct圖像從修飾的R，G的三個分量，B

   img = imread('peppers.png'); 
   R = img(:,:,1); %get the Red part 
   G = img(:,:,2); %get the Blue part 
   B = img(:,:,3); %get the Green part 
   R_gaussian = gaussianFilter(R); %write your own function name 
   G_gaussian = gaussianFilter(G); %or repeat the code by REPLACING I as 
   B_gaussian = gaussianFilter(B); %Red Green Blue components 
   RGB_gaussian = cat(3,R_gaussian, G_gaussian, B_gaussian); %merging the components 
   %since you are learning you can do this for better unedrstanding 
   RGB_gaussian = zeros(size(img)); %make a matrix of size of original image 
   RGB_gaussian(:,:,1)=R_gaussian; % Replace the values 
   RGB_gaussian(:,:,2)=G_gaussian; 
   RGB_gaussian(:,:,3)=B_gaussian; 
   

更多信息這會有所幫助：http://www.bogotobogo.com/Matlab/Matlab_Tutorial_Digital_Image_Processing_6_Filter_Smoothing_Low_Pass_fspecial_filter2.php