是否可以使用matlab（或其他）将图形绘制成图像？

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问题描述

我有一个灰度的建筑物（.png）的图片文件，我有一个脚本生成一个网格图，其颜色强度是某人在白天花费时间的部分。该建筑物分为3x3网格，因此该图对应。如何将此INTO绘制到灰度图像并将其着色以使其与3x3绘图匹配？我已经非常谨慎地遵循这种叠加技术但不断出现错误：

BlendedImage：

I have a picture file of a building (.png) that is in grayscale, and I have a script that generates a grid plot with color intensity of what section of the building someone spent time in during the day. The building is divided into a 3x3 grid and the plot corresponds accordingly. How can I plot this INTO the grayscale image and colorize it so that it matches the 3x3 plot? I have treid to follow this overlay technique but keep getting errors: http://blogs.mathworks.com/steve/2009/02/18/image-overlay-using-transparency/

My grid plot script:

Data = [1:1:9; 1 2 3 4 5 6 7 8 9; 1 2 3 4 5 6 7 8 9 ;1 2 3 4 5 6 7 8 9;1 2 3 4 5 6 7 8 9];

M = zeros(3,3);

 for ii = 2:size(Data,1)
      plot(ii-1)
      M(1:end) = Data(ii,:);
      imagesc(M)
      colormap jet
      shading flat %for an exact result
      % shading interp %for a smooth result
figure
  end

Any ideas or is this just not possible? I do have the image processing toolbox and if there is another program better suited for this I am happy to give it a shot.

Edit:

Here is the code I am trying to work with to get the blog post on transparency working:

BaseImage = imread('buildinglayout.png');
imshow(BaseImage, 'InitialMag', 'fit');
GridPlot = imread('5.png'); %output of grid plot generating script
imshow(GridPlot,'InitialMag','fit')
M(1:end) = Data(ii,:);
h = imshow(M);
hold off
set(h,'AlphaData', GridPlot);

And the error I get, though I am willing to bet I am not outlining the overlay properly at all regardless of this error:

Error using set
Bad property value found.
Object Name :  image
Property Name :  'AlphaData'.

Error in OverlayPlots (line 13)
set(h,'AlphaData', GridPlot);

解决方案

Creating the GridPlot, without using figure, is a little tricky.
The following code creates the color plot in the size of your image.
I assumed size is 481 rows and 585 columns.

I created a color map, based on Matlab "JET" color map.
I used an inner loop iterates columns, and outer loop iterates rows.
Each inner iteration fills 1/9 of GridPlot with selected color from the map.

Matalb code:

%BuildGridPlot
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
width = 585;  %Number of columns.
height = 481; %Number of rows.

%Fill matrix GridPlot with zeros.
%GridPlot dimensions is: height x width x 3
GridPlot = uint8(zeros(height, width, 3));

w_div3 = width/3;
h_div3 = height/3;

%Create JET color map - each row index is [R, G, B] triple.
ColorMap = jet(9); %Create 9 triples.

%Convert color map from double to uint8.
ColorMap = uint8(round(ColorMap*255));

color_counter = 1;

%Fill 3x3 blocks with different colors.
for y = 0:2
    y0 = 1 + round(y*h_div3);
    y1 = round((y+1)*h_div3);
    y1 = min(y1, height);      %Limit y1 to height (just in case rounded up...).
    for x = 0:2
        x0 = 1 + round(x*w_div3);
        x1 = round((x+1)*w_div3);
        x1 = min(x1, width);   %Limit x1 to width (just in case rounded up...).

        %Fill rectangular area from row y0 to row y1, and from column x0 to
        %column x1 with [R, G, B] triple from ColorMap.
        %The row index of the [R, G, B] triple is color_counter.
        GridPlot(y0:y1, x0:x1, 1) = ColorMap(color_counter, 1); %Set pixels red color
        GridPlot(y0:y1, x0:x1, 2) = ColorMap(color_counter, 2); %Set pixels green color
        GridPlot(y0:y1, x0:x1, 3) = ColorMap(color_counter, 3); %Set pixels blue color

        color_counter = color_counter + 1;
    end
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%GridPlot = imwrite('GridPlot.png');

%Load cameraman as an example for grayscale image.
BaseImage = imread('cameraman.tif');

%Resize BaseImage to [height, width] (simulate size of your image).
BaseImage = imresize(BaseImage, [height, width]);

%Verify
if (ndims(BaseImage) == 2)
    %Duplicate BaseImage 3 times - convert to RGB.
    BaseImageRGB = cat(3, BaseImage, BaseImage, BaseImage);
elseif (ndims(BaseImage) == 3)
    %BaseImage is already in RGB format - copy as is.
    BaseImageRGB = BaseImage;
else
    error('Error: BaseImage is not a valid image');
end

alpha = 0.7; %Tranceparency coefficient.

%Take 70% of BaseImage and 30% of GridPlot image.
BlendedImage = alpha*double(BaseImageRGB) + (1-alpha)*double(GridPlot);

%Convert to uint8 with rounding.
BlendedImage = uint8(round(BlendedImage));

figure;
imshow(BlendedImage);

imwrite(BlendedImage, 'BlendedImage.png');

GridPlot:

BlendedImage:

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是否可以使用matlab（或其他）将图形绘制成图像？

问题描述