Matlab code(well commented): Develop an Algorithm to generate a histogram by counting the different intensity levels. Use your algorithm with the image and compare to results to the 'imhist()' command results on the image.
1) Without IMHIST Function:
I=imread('pout.tif'); % Reading Image
[r,c]=size(I)
n=r*c; % Total Pixels
x=1:256;
y=x';
G=imhist(I); % G contains number of pixels at each
Intensity
cdf=cumsum(G);
cdfmin=min(cdf);
for i=1:256
h(i)= round(((cdf(i)-cdfmin)/(n-1))*255); %equalized pixel
intensities
end
T=[y,G,cdf,h']; % to generate table
new_image = zeros(r,c); % creating New Image matrix
new_image = uint8(new_image);
for i=1:r
for j=1:c
new_image(i,j) = h(I(i,j)+1);
end
end
subplot(2,2,1);imshow(I);title('original image');
subplot(2,2,2);imhist(I);title('histogram of original image');
subplot(2,2,3);imshow(new_image);title('equalized image');
subplot(2,2,4);imhist(new_image);title('histogram of Eq. Image’);
Matlab code(well commented): Develop an Algorithm to generate a histogram by counting the different intensity levels....
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