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View Full Version : Delete backgroung and manual 3D volume rendering


PedroFernandez
14th February 2012, 07:49
To whom it may concern,

I am trying to segregate a .tiff file (over 700 slides) and I would like to separete the outer black point. When I aply a threshold filter for the darkest colours, Avizo identify outer zones as porosity and, it isnīt true. Anybody can help me to separate the real porosity from the false one??

Another question related to the previous one. I would like to made a 3D volume rendering of the whole sample and, again, I have the problem of the outher zones. I have tried to create a manual 3D volume (cilinder, box...), but I would like to create a 3D volume that will be adjust to the edges of my sample. Can anybody help me with this??

I woukld be delighted if anybody could help me with any of this situations.

shuom
14th February 2012, 08:37
The way I deal with this is using the 'Volume Edit' module from the 'compute' submenu. I use a tabbox to select the data I want, and then change the padding value to '255' (White), and cut the outer area. That creates a new dataset. However, the top slice and the bottom slice have issues.

Hope this helps.

PedroFernandez
14th February 2012, 13:36
Dear Shuom,

Really thanks for your quickly response. I apreciate it.

I have been testing it and, although the histogram has been reduced, it doesnīt work.

I show you, at the file that I have attached, what happen when I try to segregate the porosity (blackest pixeles). A cover has been developed over the edge (2D at this point) between outside and inside, which donīt let me to cuantificate the porosity at the right way.

I have been trying by filtering, other segmentation tools (I have created subboxes and it works, but I want to study the whole sample, not just a fraction of this)... even aritmethic ecuations, but I can get waht I want.

Do you think I could do what I want from another way?

barbis
19th February 2012, 06:31
Hello!

This looks like a good sample for some heavy anisotropic diffusion filtering before a global threshold.

maybe it helps!

PedroFernandez
22nd February 2012, 08:12
Hi barbis!!

Thanks for your suggestion

I have fixed the problem.
I have used some filters (median smoothing and anisotrophic diffusion) before the applycation of several 3D Quantification operations.

Really thanks for your support my friends!!