http://imagej.273.s1.nabble.com/BoneJ-Analyze-Skeleton-on-Skeletons-with-32766-components-tp5009924p5009935.html
Don't do that! For larger label numbers you will struggle around with float rounding errors, hence mislabelling problems. The latter will need more time to overcome! I don't know Java enough, but Long is much better than float.
> Hello Simon,
>
> This limitation comes from the fact that I used a "short" image to store
> the labeled skeletons in AnalzyeSkeleton. If you have some coding
> experience you can easily create your own version of the plugin to use
> Float instead of Short pixel values. That should make the trick.
>
> In any case, I will talk to Michael Doube (BoneJ maintainer) to see if we
> also add that change to our released version.
>
> Best regards,
>
> ignacio
>
> On Mon, Oct 6, 2014 at 10:31 PM, Simon Carr <
[hidden email]> wrote:
>
>> Dear All,
>>
>> I am using BoneJ to undertake pore analysis of soils and sediments, but
>> keep coming up against the Java limit of a maximum of 32,766 components.
>> Unfortunately, my samples have populations of pores to be measured in the
>> order of ~120,000 components, some of which extend right through the CT
>> volume that has been scanned. Whilst I appreciate that I can sub-sample
>> each volume into smaller pieces that bring the component number below the
>> magic number, I am aware that this is compromising the quality of the
>> analysis, because numerous large pore networks that extend as a single
>> network through the whole volume are being split into perhaps four (or
>> more) skeletons for subsequent analysis.
>>
>> Can anyone advise whether there is a way to get around the Java-imposed
>> limit on my volumes?
>>
>> Regards,
>>
>> Simon
>> _________________________________
>> Dr Simon Carr
>> School of Geography,
>> Queen Mary University of London,
>> Mile End Road, London, E1 4NS, UK.
>> t: 00 44 20 7882 2780
>> f: 00 44 20 8981 6276
>> e:
[hidden email]<mailto:
[hidden email]>
>> twitter: @DrSimonCarr
>>
>>
>>
>>
>>
>>
>>
>>
>> --
>> ImageJ mailing list:
http://imagej.nih.gov/ij/list.html>>
>
>
>
> --
> Ignacio Arganda-Carreras, Ph.D.
> Seung's lab, 46-5065
> Department of Brain and Cognitive Sciences
> Massachusetts Institute of Technology
> 43 Vassar St.
> Cambridge, MA 02139
> USA
>
> Phone: (001) 617-324-3747
> Website:
http://bioweb.cnb.csic.es/~iarganda/index_EN.html>
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