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Darlis Herumurti

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Kumamoto University

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04 Sep 2012 A Fast Image Segmentation using Delaunay Triangulation A fully automated process that does not require initial estimate of number of clusters. Author: Abbas Cheddad

However, removing vertices that do not contribute to the area will lead to an improper segmentation result. Alternatively, it can be added as a new parameter to the method.

Thank you so much for your great works.

04 Sep 2012 A Fast Image Segmentation using Delaunay Triangulation A fully automated process that does not require initial estimate of number of clusters. Author: Abbas Cheddad

Yes, it run well, and the the code is wery helpfull.
I've found that, the convhull function yield a different result in version 2008a and 2011b. the convhull(x,y) in version 2008a is similar with convhull(x,y,'simplify',true) in version 2011b.
That's why, the 2008 version run faster than 2011a(without parameter simplify).

From the doc (http://www.mathworks.com/help/techdoc/rn/bsk8h3i-1.html#bsljqrp-1)
The simplify option for convhull provides the option of removing vertices that do not contribute to the area or volume of the convex hull.

03 Sep 2012 A Fast Image Segmentation using Delaunay Triangulation A fully automated process that does not require initial estimate of number of clusters. Author: Abbas Cheddad

Thanks again for your answer.
For your information, I've just tried in the different version of matlab (2008a and 2011b). Just wonder that I got the different result with the same code. I don't know why and the 2011b version is slight slower than 2008b.
Thank you for your kind attention.

Sincerely yours,
Darlis

30 Aug 2012 A Fast Image Segmentation using Delaunay Triangulation A fully automated process that does not require initial estimate of number of clusters. Author: Abbas Cheddad

Thank you so much for your sharing code and your great paper.

30 Aug 2012 Soft thresholding for image segmentation Image segmentation based on histogram soft thresholding Author: SANTIAGO AJA-FERNANDEZ

Thank you so much for your sharing code, it is very impressive.
I've read your paper and I would like to ask about the median MG (step 6). I confuse the use of MG and about calculating the MX in step 5 and step 6, since in your code, you didn't do anything about MG.
Thank you very much for your kind response.

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