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Finding Dominant Peaks and Valleys of an Image Histogram


Varuna De Silva


This function finds dominant peaks and local valleys of an image histogram

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This function finds dominant peaks and valleys of an image histogram. Minimum peak distance and averaging filter size can be changed to suit your need.
Although, the function is originally written for mages, there is no reason why this can't be used on one dimensional data.

[peaks minima_low minima_high] = findlocalminima(I,10,5,0);
[peaks minima_low minima_high] = findlocalminima(I);

I = imread('cameraman.tif');
[peaks minima_low minima_high] = findlocalminima(I);

'minima_low' and 'minima_high' correspond to the local minimums beside each of the peak identified in 'peaks'

This is the function that is used for peak detection in my paper,
 "De Silva, D.V.S.; Fernando, W.A.C.; Kodikaraarachchi, H.; Worrall, S.T.; Kondoz, A.M.; ,"Adaptive sharpening of depth maps for 3D-TV," Electronics Letters , vol.46, no.23, pp.1546 -1548, November 11 2010. Kindly consider to cite this paper if you use this in your work.

Required Products Image Processing Toolbox
MATLAB release MATLAB 7.5 (R2007b)
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Comments and Ratings (4)
23 Nov 2014 avi


thanks a lot!!!

03 Jul 2013 Wajahat


Great. After a little tuning, (using smooth(hist)), produces superb results and nicely finds peaks in the histogram.

19 Oct 2011 Qiao Liyong

Qiao Liyong

24 Aug 2011 John William

John William


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