How to identify the type of the Histogram distribution?
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Hi All,
I have medical images,I've plotted it's histograms,now I need to identify the type of these histograms(e.g. One may be like Gaussian distribution, Normal distribution.etce...),is there a builtin Matlab function for * identify the type of Histogram distribution * or any code does that? my goal: I have two algorithms for image segmentation,so if the distribution was Gaussian type I will use the first algorithms else use the second algorithm,please any could guide me to do this job.thank in advance for time and support
1 Comment
Walter Roberson
on 16 Jan 2014
Duplicates http://www.mathworks.co.uk/matlabcentral/answers/112603-how-to-identify-the-type-of-the-histogram and further discussion should continue there.
Answers (1)
Wayne King
on 16 Jan 2014
You can use kstest() if you have the Statistics Toolbox:
x = 10+randn(1000,1);
test_cdf = makedist('normal','mu',10,'sigma',1);
[h,p] = kstest(x,'cdf',test_cdf);
7 Comments
hamed abdulaziz
on 16 Jan 2014
Walter Roberson
on 16 Jan 2014
In your original that this question duplicates, you asked specifically for Gaussian (== "normal") distribution. kstest() does that test.
If you want to know the name of the distribution then you can use the File Exchange contribution linked to in your original question that this question duplicates. If your distribution does not fit within any one of the ones known to that tool, then you can attempt to extend that tool.
There is no Mathworks supplied tool to name distributions of arbitrary data, and there cannot be such a tool, as there are an infinite number of possible distributions. The Curve Fitting Toolbox goes part way towards a more generalized solution, but the generalized solution also needs to include time delay and feedback networks where later samples might be correlated with earlier samples.
hamed abdulaziz
on 16 Jan 2014
hamed abdulaziz
on 16 Jan 2014
Edited: hamed abdulaziz
on 16 Jan 2014
hamed abdulaziz
on 16 Jan 2014
hamed abdulaziz
on 16 Jan 2014
Glisant Plasa
on 20 Nov 2022
hope ur doing well hamed
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