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Hi all,
I have thresholded a slice of 2-D µ-CT scan image of a rock sample. I have obtained the porosity of it but getting the area covered by the pores. However is there any way to calculate or obtain how well the pores are connected/ pore connectivity. The only thing that I have found so far is BoneJ which is for bone samples. Any hint or idea is most welcomed. Thanks. Regards, Julian. |
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Hi Julian,
There is nothing exclusively bone-y about BoneJ. Lots of people are using it for stuff that is not even vaguely bone related (like cake! mmmm... cake...). For example, although volume fraction is called BV/TV, it's still just a volume (or area) fraction. The same is true for connectivity - bone people call it Conn.D, but it's just a measurement of the Euler characteristic with a specific label. If you want the connectivity of lots of maybe connected, maybe separate particles/pore spaces, use BoneJ's particle analyser, which will calculate the Euler characteristic of all the particles in your image (but, please note, it does expect a 3D binarized image, which you should easily get from your X-ray microtomography scan). http://bonej.org/particles Best regards, Michael ________________________________________ From: ImageJ Interest Group [[hidden email]] on behalf of Ju [[hidden email]] Sent: 12 February 2013 15:06 To: [hidden email] Subject: Counting pore connectivity Hi all, I have thresholded a slice of 2-D µ-CT scan image of a rock sample. I have obtained the porosity of it but getting the area covered by the pores. However is there any way to calculate or obtain how well the pores are connected/ pore connectivity. The only thing that I have found so far is BoneJ which is for bone samples. Any hint or idea is most welcomed. Thanks. Regards, Julian. [http://www.rvc.ac.uk/cf_images/button_rvc.png]<http://www.rvc.ac.uk> [http://www.rvc.ac.uk/cf_images/button_twitter.png] <http://twitter.com/RoyalVetCollege> [http://www.rvc.ac.uk/cf_images/button_facebook.png] <http://www.facebook.com/theRVC> This message, together with any attachments, is intended for the stated addressee(s) only and may contain privileged or confidential information. Any views or opinions presented are solely those of the author and do not necessarily represent those of the Royal Veterinary College (RVC). If you are not the intended recipient, please notify the sender and be advised that you have received this message in error and that any use, dissemination, forwarding, printing, or copying is strictly prohibited. Unless stated expressly in this email, this email does not create, form part of, or vary any contractual or unilateral obligation. Email communication cannot be guaranteed to be secure or error free as information could be intercepted, corrupted, amended, lost, destroyed, incomplete or contain viruses. Therefore, we do not accept liability for any such matters or their consequences. Communication with us by email will be taken as acceptance of the risks inherent in doing so. -- ImageJ mailing list: http://imagej.nih.gov/ij/list.html |
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hi,
Thanks for replying 1st of all. Does it basicly mean that i can quantify the connectivity of my pores in the sample by means of Euler's number? I have stacked a few X-ray microtomography scan images and used the 3D project function and then make the 3D image binary and then run BoneJ's particle analyser as you suggesed. It gave a Euler of 816. thus can i say the connectivity of my pores are 816, but does the number seem unreal? its just a sandstone rock. With porisity about 10%. Thanks lots! Julian |
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