Francesco,
I fear you won't find an approach for the automatic isolation of the "bands".
You'll always need to manually adjust some parameters.
>Thank you for your quick response!
>
>unfortunately I still have the problem beacause a lot of structures in the
>full picture have values around 112 and furthermore I have more than 1300
>slices for sample....and every slice have little different value for the
>"bands". You can find for example 99, 103, 112........
I wrote:
"... of course you will have to set the correct threshold for every
image by hand."
>Francesco
>Gluender-3 wrote:
>>
>> Francesco,
>>
>> for a first try I've applied two times "Process>Noise>Despeckle" to
>> your JPG-sample. Then I've chosen a threshold at value 112. With this
> > setting a separation is possible but of course you will have to set
> > the correct threshold for every image by hand.
>>
>> Furthermore, you will have to close the ends of your "bands of
>> interest" by hand and then apply the wand tool.
>>
>>>Dear experts
>>>
>>>I have a big image sequence coming from micro-tomografy analysis. I need
>to
>>>calculate the area of some structures that have a gery value very similar
>to
>>>other structures (see the picture, I need the thin layer between arrows).
>So
>>>when I spotlight this structures by Histogram and Thereshold, I can not
>>>separate it from other parts that have similar grey values. Finally the
>>>measurament is terribly overstimate.
>>>Do you know some trick to resolve my problem?
>>>
>>>Thank you
>>>
>>>Francesco
> >>
http://n2.nabble.com/file/n3598079/mct_fra.jpg mct_fra.jpg
>
> > HTH
>> --
>>
>> Herbie
>>
>> ------------------------
> > <
http://www.gluender.de>
>
In fact there is more than human vision that you would need to solve
the problem, you'll need specific human knowledge as well...
For instance to solve the problem: Where do the bands end?
Best
--
Herbie
------------------------
<
http://www.gluender.de>