Given a grayscale image, its histogram consists of the histogram of its gray levels; that is, a graph indicating the number of times each gray level occurs in the image.
We can infer a great deal about the appearance of an image from its histogram.
• In a dark image, the gray levels would be clustered at the lower end
• In a uniformly bright image, the gray levels would be clustered at the upper end.
• In a well contrasted image, the gray levels would be well spread out over much of the range.
Here is the Matlab Implementation:
[code]
function task1
a=imread(‘coins.png’);
subplot(1,2,1)
imshow(a);
prob=zeros(1,255);
[r c]=size(a);
for h=1:255
for i=1:1:r
for j=1:1:c
if (a(i,j)==h)
prob(h)=prob(h)+1;
end
end
end
end
subplot(1,2,2)
stem(prob)
[/code]
Enjoy..!!!
