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数字图像处理中的通道[关闭]

[英]Channel in Digital Image Processing [closed]

I don't have very knowledge about digital image processing.我对数字图像处理知之甚少。 I tried myself.我自己试过。 If you help me, i will be very happy.如果你帮助我,我会很高兴。

Question问题

%tried 3

rgbImage = imread('C:\Users\metec\Desktop\608918.jpg');
[rows, columns, numberOfColorChannels] = size(rgbImage);
if rows >= 2048 && columns >= 1024 % check image sizes(m,n) m=rows n=columns
else
end
if rows * columns >= 2097152
else
end
[rows, columns, numberOfSubplots] = size(rgbImage);
if rows * columns >= 16 % check sub image sizes(p,p)
else
end
redChannel = rgbImage(:,:,1); % channel 1
subplot(3, 3, 2);
imshow(rgbImage);
fontSize = 10;
title('Original RGB Image', 'FontSize', fontSize)
subplot(3, 3, 4);
imshow(redChannel);
title('Red Channel', 'FontSize', fontSize)

First Steps:第一步:

This script uses the saturn.png image which is included in MATLAB.此脚本使用 MATLAB 中包含的saturn.png图像。 To get you started below are the for-loop constructs.为了让您开始,下面是 for 循环结构。 The +16 in the for-loops indicate the increment value upon each iteration of a given for-loop. for 循环中的+16表示给定 for 循环每次迭代时的增量值。 I would suggest storing the sub-images in a struct (structure).我建议将子图像存储在struct (结构)中。

img = imread("saturn.png");
%Grabbing channel 1 of the image%
Channel_1 = img(:,:,1);
%Resizing the test image to follow the size of the question%
Channel_1 = imresize(Channel_1,[2048 1024]);

for Row = 1: +16: 2048
   for Column = 1: +16: 1024 

   fprintf("(%d,%d)\n",Row,Column);
   %Grab sub-images here%

   %Hint: Rows: (1 to 16) and Columns: (1 to 16) is the first sub-image.
   

   

   end
end

subplot(1,2,1); imshow(Channel_1);
title("Original Image");

subplot(1,2,2);
title("Sub-Images");

Below is an image that indicates the divisions that need to be made.下图显示了需要进行的划分。 To plot where the divisions need to be made the line() function was used.对于需要进行分区的 plot,使用了line() function。

分割图像

Ran using MATLAB R2019b使用 MATLAB R2019b 运行

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