Hi Hila,

I think this strongly depends on your application. There is no "best" 
way to threshold an image without knowing the purpose of the 
threshold/thresholded image.
Do you simply want to remove some low values? Or do you want to only 
retain the local maxima? Or is there some other idea behind this?

Best
Peter

On 05/14/2012 11:59 PM, Hila Hiler wrote:
> Hi all,
>
> sorry about the long title :-)
> actually my question is very simple:
>
> I'm wondering what's the best method to extract the high values from a 
> tract density image in order to get a threshed binary image.
> The main issue here is finding the optimal threshold that will remove 
> the pixels which represent the low density locations in the image.
>
> In that way, just the high density values in the image will be maintained.
>
> What I've done till now are the next steps:
> a. moving to a logarithmic scale
> b. calculating the median from a (the median is the threshold)
> c. remove pixels lower then the median from b
> d. turning back to a decimal scale
> e. show the binary image
>
> I manipulated that algorithm and the result is only half of the 
> initial number of pixels were removed (and I want more) ...
>
> I'm open to new, creative or really any idea ...
>
> Best,
> Hila

-- 
Dipl.-Inform. Peter Neher
German Cancer Research Centre
(DKFZ, Deutsches Krebsforschungszentrum in der Helmholtz-Gemeinschaft, Stiftung 
des öffentlichen Rechts)
Division of Medical and Biological Informatics
Im Neuenheimer Feld 280, D-69120 Heidelberg

Phone: 49-(0)6221-42-3552, Fax: 49-(0)6221-42-2345
E-Mail: [email protected], Web: www.dkfz.de

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