I would like to overlap two images, one grayscale and one RGB image. I would like to impose the RGB image on top of the grayscale image, but ONLY for pixels greater than a certain value. I tried using the double function in MATLAB, but this seems to change the color scheme and I cannot recover the original RGB colors. What should I do in order to retain the original RGB image instead of mapping it to one of the MATLAB colormaps? Below is my attempt at superimposing:
pixelvalues = double(imread('hello.png'));
PixelInt = mean(pixelvalues,3);
I1 = ind2rgb(Brightfield(:,:,1), gray(256)); %Brightfield
I2 = ind2rgb(PixelInt, jet(256)); %RGB Image
imshow(I2,[])
[r,c,d] = size(I2);
I1 = I1(1:r,1:c,1:d);
% Replacing those pixels below threshold with Brightfield Image
threshold = 70;
I2R = I2(:,:,1); I2G = I2(:,:,2); I2B = I2(:,:,3);
I1R = I1(:,:,1); I1G = I1(:,:,2); I1B = I1(:,:,3);
I2R(PixelInt<threshold) = I1R(PixelInt<threshold);
I2G(PixelInt<threshold) = I1G(PixelInt<threshold);
I2B(PixelInt<threshold) = I1B(PixelInt<threshold);
I2(:,:,1) = I2R; I2(:,:,2) = I2G; I2(:,:,3) = I2B;
h = figure;
imshow(I2,[])
Original RGB Image:
Brightfield:
Overlay:



Is the content of
pixelvalueswhat you show in your first image? If so, that image does not use ajetcolormap. It has pink and white values above the red values, whereasjetstops at dark red at the upper limits. When you take the mean of those values and then generate a new RGB image withind2rgbusing thejetcolormap, you're creating an inherently different image. You probably want to usepixelvaluesdirectly in generating your overlay, like so:Note that you may need to do some type conversions when loading/creating the starting images. I'm assuming
'hello.png'is auint8RGB image andBrightfieldis of typeuint8. If I load your first image aspixelvaluesand your second image asI1, I get the following when running the above code: