Effacer les filtres
Effacer les filtres

pixel Segmentation using histograms

2 vues (au cours des 30 derniers jours)
Mehwish
Mehwish le 28 Août 2013
Hi, I am facing with a theoretical confusion and I hope some one can clear it up for me.
Is it possible to find gradients on the basis of a simple histogram?
I came across a mention of an algorithm which finds gradients on the basis of highest peaks of a histogram but I wasn't able to find it on web even after much searching.
Can someone please point me in the right direction if any of you have any idea regarding this? I shall be extremly grateful.
Thanks
Mehwish

Réponse acceptée

Image Analyst
Image Analyst le 28 Août 2013
Not in general, though with fancier algorithms you can find some gradients (edges). For example using the range filter in the Image Processing Toolbox:
I = imread('liftingbody.png');
J = rangefilt(I);
imshow(I), figure, imshow(J);
or using stdfilt() or graycomatrix(). But these are a little more complicated than a simple global histogram of the whole image.

Plus de réponses (1)

Mehwish
Mehwish le 28 Août 2013
Modifié(e) : Mehwish le 28 Août 2013
Thanks a lot Image Analyst. You have really solved huge issue for me.
I have another thing. For example using your lines of code if I want to display only those areas in the J image which are lighter in color than the rest of the pixels of the image how to do so? And make the rest of the pixels white?
Please advise.
Thanks Mehwish
  2 commentaires
Image Analyst
Image Analyst le 28 Août 2013
darkPixels = J < 150; % or whatever.
I(darkPixels) = 255; % Set dark pixels to white in the original image.
imshow(I);
Mehwish
Mehwish le 28 Août 2013
Thanks :)

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