Fiji question
Posted by
Robin on
Jul 02, 2014; 8:14am
URL: http://imagej.273.s1.nabble.com/Fiji-question-tp5008530.html
Thanks for your fast response Ignacio,
I indeed have a question about the WEKA trainer:
I have now used the tool quite often and it performs well.
The only thing I would like to have done is to re-train the features included in a particular class on other images than the original image I trained initially on.
It is often the case that for 10% of the images the segmentation is not done well and I think one could easily correct this by re-training on the image that shows the problem.
IS there a way to do this?
Many thanks and best regards,
Robin
On Jun 30, 2014, at 2:15 PM, Ignacio Arganda-Carreras [via ImageJ] <
[hidden email]> wrote:
Hello Robin,
I'm glad to hear you could solve the problem yourself. Please, let me know
if you need any further help.
Best,
ignacio
On Mon, Jun 30, 2014 at 9:43 AM, Robin <<a href="x-msg://6/user/SendEmail.jtp?type=node&node=5008491&i=0" target="_top" rel="nofollow" link="external">[hidden email]> wrote:
> Hi,
>
> I've reduced the size of my images by factor 4 and could easily complete
> the
> task.
>
> Here is the workflow I used:
>
> 1. Maximum Intensity Projection (MIP) of Z-stack .stk files.
> 2. Auto level.
> 3. Resize MIPs.
> 4. Train classifier and save it as .model file.
> 5. Apply classifier; all files in complete directory.
> 6. Save output files into new directory and do not open in FIJI.
>
> On my Mac Book Pro; 3Ghz intel Core i7; OSX 10.9.3; 8GB RAM,
> the job took about 10 mins.
>
> R
>
>
>
> --
> View this message in context:
>
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Nabble.com.
>
> --
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--
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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