Matlab-绘制特定像素（图像处理）

Question

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我有一张NxM大小的原始图像(FigureB-它是原始图像的蓝色香奈儿），从这张图像中我选择一个特定的区域来研究(NewfigureB)，大小120x170；

然后我将这个区域划分为我所说的宏像素，即10x10的数据点（像素）阵列；

我然后在所选区域上涂上掩膜，只选择符合一定发光条件的点；

到目前为止，这是我想出来的。如有任何帮助，将不胜感激。

多谢

%Make the number of pixels in the matrix divisible
Macropixel = 10; %determine the size of the macropixel
[rows,columns] = size(figureB); %determine dimentions of the matrix used in the calculations
MacropixRows = floor(rows/Macropixel); %determine how many macropixels are in a row of the original matrix
MacropixColumn = floor(columns/Macropixel); %determine how many macropixels are in a column of the original matrix

%define new dim for the matrix
rows = MacropixRows * Macropixel;
columns = MacropixColumn * Macropixel;
NewfigureB = figureB(1:rows,1:columns); %divisible by the size of the macropixels created

%select area 
NewfigureB = NewfigureB(1230:1349,2100:2269);

%create luminescence mask
Lmin=50;
hmax=80;
mask=false(size(NewfigureB));
mask(NewfigureB <Lmin)=true;
mask=mask & (NewfigureB<hmax);

%Apply mask
NewfigureB=NewfigureB(mask);


    for jj = 1:Macropixel:120
        for ii =1:Macropixel:170 
        histogram( NewfigureB(jj:jj+Macropixel-1, ii:ii+Macropixel-1))
        end
    end'''

Answer 1

您发布的代码有太多问题。

我尽力更正了它。
我修改了一些参数来模拟我使用的示例图像。
我找不到您的示例图像，所以我使用了以下内容

这里有一个更正的代码（请阅读注释）：

I = imread('Nikon-D810-Image-Sample-7.jpg');

figureB = I(:,:,3);

%Make the number of pixels in the matrix divisible
Macropixel = 10; %determine the size of the macropixel
[rows,columns] = size(figureB); %determine dimentions of the matrix used in the calculations
MacropixRows = floor(rows/Macropixel); %determine how many macropixels are in a row of the original matrix
MacropixColumn = floor(columns/Macropixel); %determine how many macropixels are in a column of the original matrix

%define new dim for the matrix
rows = MacropixRows * Macropixel;
columns = MacropixColumn * Macropixel;
NewfigureB = figureB(1:rows,1:columns); %divisible by the size of the macropixels created

%select area 
NewfigureB = NewfigureB(1230:1349,2100:2269);

%create luminescence mask
Lmin=90;%50; %Change to 90 for testing
hmax=200;%80; %Change to 200 for testing
mask=false(size(NewfigureB));
mask(NewfigureB > Lmin)=true; %I think it should be > Lmin.   %mask(NewfigureB <Lmin)=true;
mask=mask & (NewfigureB<hmax);

%This is not the right way to apply a mask, because the result is a vector (not a matrix).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%Apply mask
%NewfigureB=NewfigureB(mask);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%Assuming there are no zeros in the image, you can set masked elements to zero:  
NewfigureB(~mask) = 0;



for jj = 1:Macropixel:120
    for ii =1:Macropixel:170

        %Copy NewfigureB(jj:jj+Macropixel-1, ii:ii+Macropixel-1) into temporary matrix MB:
        MB = NewfigureB(jj:jj+Macropixel-1, ii:ii+Macropixel-1);

        %Remove the zeros from MB (zeros are masked elements).
        %The result is a vector (not a matrix).
        MB = MB(MB ~= 0);

        %histogram( NewfigureB(jj:jj+Macropixel-1, ii:ii+Macropixel-1))
        figure; %Open new figure for each histogram. (I don't know if it's a good idea).
        histogram(MB); %Plot the histogram of vector MB.
    end
end