Determine histogram of color image with separate red, green and blue component.
Hello;
there are some codes related to the subject on Matlab file exchange
Read an image and pass it to the function imhist(img) it will return colors histogram
Attached is a Matlab code sequence for the restitution of histograms for RGB color image components.
I=imread(‘image.jpg');
ired=I(:,:,1); igreen=I(:,:,2); iblue=I(:,:,3);
figure, subplot(3,1,1), imhist(ired), subplot(3,1,2), imhist(igreen), subplot(3,1,3), imhist(iblue),
But these code show the histogram of red, green and blue component but in grayscale form, but I want red color histogram, similarity other color histogram
>>image = imread(‘My_image.jpg');
%%You should separate 3 layers of paint. "red , green and blue"
>>Red=image (:,:,1);
%% The third parameter represents one of the colors of red, green, and blue.
>>Green=image (:,:,2);
>>Blue=image (:,:,3);
>>figure,
>>subplot (3,1,1)
>> imhist (Red)
>>subplot (3,1,2)
>> imhist (Green),
>>subplot (3,1,3)
>>imhist (Blue)
and you can change histogram by "eqhist" that is a code and you can use it.
eqhist can help you to find the best diagram
Dear
This question and the answers will be helpful to you
https://www.mathworks.com/matlabcentral/answers/181624-how-to-get-color-histogram-of-an-image
first of all you need to know which kind of image you are working, if the image is a simple RGB you can use this code
image = imread('blabla.jpg')
red = image(:,:,1);
green = image(:,:,2);
blue = image(:,:,3);
where the red channel is the first one.
for the other hand if your image is multispectral you have to know which is the red channel (see the sensor properties) and
red = image(:,:,red channel);
and then you can use
figure(1)
imhist(red) or plot(red)
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