histogram specification matlab code without using builtin functions

clc

I = imread ('Machine-Edge.PNG');
I2 = rgb2gray(I);
colormap gray;

y = imhist(I2);

%using hist eq. built in fn
I3= histeq(I2);
z= imhist(I3);

%my equalization
r = size(I2,1);
c = size(I2,2);
A= zeros(1,256);

%counting number of pixels of the image and putting the count in Array A
for j=1:r
for x=1:c
v=I2(j,x);
A(v+1)=A(v+1)+1;
end
end

%pi=n/size
for y=1;256
pi(y)= ((A(y))/(r*c));
end

%calculate CI (cumulated pi )
ci(1)= ....etc

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Histogram and histogram processing


Histogram: application
Distribution of gray-levels can be judged by measuring a histogram
Histogram provides global descriptions of the image (no local
details)
Fewer, larger bins can be used to trade off amplitude resolution
against sample size. ....etc

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Histogram Specification: A Fast and Flexible Method
to Process Digital Images



Abstract

Histogram specification has been successfully used in
digital image processing over the years. Mainly used as an image
enhancement technique, methods such as histogram equalization
(HE) can yield good contrast with almost no effort in terms of
inputs to the algorithm or the computational time required. More
elaborate histograms can take on problems faced by HE at the
expense of having to define the final histogra ....etc

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