How to quantize histogram of gray scale image using LLoyd max algorithm upto 25 iterations
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I have a gray scale images, i built histgram of it and find probability distribution function(Pdf) and corresponding greyscale values. i want to quantize it into non uniform bins( intervals) until i got MSE of all bins(intervals).
thank you in advance
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Image Analyst
am 23 Jan. 2016
Bearbeitet: Image Analyst
am 23 Jan. 2016
I'm not familiar with LLoyd, but if you define your bin edges, finding out what bin a gray level belongs in is trivial with the find() function. One of the ways
bin = find(grayLevel < edges, 1, 'first');
yourHist(bin) = yourHist(bin) + 1;
but that's so obvious you've probably tried it already, so at this point all I can say is to post your complete code so I can fix it.
Of course you can also have MATLAB do it with histcounts() where you can pass in the edges. Did you try that?
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Image Analyst
am 27 Jan. 2016
I'm using R2015b. Maybe they took it out then. If you type
which -all lloyds
it will tell you what toolbox it's in. If it's built-in you'll see something like this:
>> which -all plot
built-in (C:\Program Files\MATLAB\R2015b\toolbox\matlab\graph2d\plot)
plot is a built-in method
Otherwise you'll see some toolbox after the \toolbox\.
Also, the help for it also mentions which toolbox it's in.
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