how to sort histogram generated count and corresponding gray value.. pls help

m=imread('ll.bmp');

[count,gray]=imhist(m);

the answer is:

i want to sort the count and corresponding gray value..

and delete the zero count values answer like this..

Answer 1

[ARJUN K P]

i got answer from :

https://www.facebook.com/thematrixcoded

the code is :

 m=imread('ll.bmp');
>> [c,g]=imhist(m);
>> K=[c,g];
>> Ks=sortrows(K);
Ki=Ks(end:-1:1,:);
 Ki(Ki(:,1)==0,:)=[];
>> Ki

Thanku all for supporting

[Image Analyst]

It does the same thing that I did but combined the counts and gray level arrays into a single 2D array (which we didn't know you wanted to do).

Answer 2

[Image Analyst]

Don't use gray as a variable name - it's the name of a built in function that creates a colormap, and you just blew it away.

I don't know why you need to, but to get rid of array elements with zero counts

[count, grayLevels]=imhist(m);
rowsToDelete = count == 0;
count(rowsToDelete) = [];
grayLevels(rowsToDelete) = [];

[ARJUN K P]

dear sir,

how to sort both count and corresponding grayLevels values

[Image Analyst]

They are already both sorted in terms of increasing gray level. There is a sort() command to use if you want some different kind of sorting, but you should probably take the sort order and apply it to both so that both arrays are always sorted in the same order.

[ARJUN K P]

sir, already sorted in gray value basis. but i want to sort the count in decreasing (descending) order of sorting.. sir its possible?

[Image Analyst]

To sort in reverse order, simply use fliplr()

count = fliplr(count)
grayLevels = fliplr(grayLevels);

[Image Analyst]

% Sort count in descending order.
[sortedCounts, sortIndexes] = sort(count, 'descend');
% Sort grayLevels the same way.
grayLevels = grayLevels(sortIndexes);

Answer 3

[ARJUN K P]

sir you mistaken, i want sort the count in decreasing order...

eg:

before sorting

after sorting

i want ans like

[Walter Roberson]

flipud()

[ARJUN K P]

its not i want.. i want to sort the count in decreasing order and corresponding gray value.. that i show in above figure...