Posted by
Ignacio Arganda-Carreras on
Aug 22, 2014; 10:05am
URL: http://imagej.273.s1.nabble.com/Creating-DataSet-after-building-classification-with-Trainable-Weka-Segmentation-tp5009283p5009305.html
Hello Marcelo,
1. When i use imageJ Fiji with plugin in Trainable Weka Segmentation, it
> only use one picture to define different class and build up a
> classification. Can we use more pictures combine together to build up a
> classification?
>
Yes, you need to open them as a stack (File > Import > Image Sequence...)
>
> 2. After I build up the classification, or I output as the data.arff. I
> took
> a look in the arff and it has extract alot of features. Now, I would like
> to
> take some new images, and test with the classification, but my images is in
> jpg or other image format, with still havent extract the features yet. How
> can i extract the same features as the previous "data.arff" and use it as
> my
> Test Dataset ?
>
The ARFF file is meant to be used on either the main Weka GUI or in the
Trainable Weka Segmentation plugin to help in the segmentation of other
images.
If you don't change any of the settings, the same features are used every
time you call the plugin.
If what you want is to have an ARFF file for training and an ARFF for
testing, just call the plugin twice with two different images, trace some
samples of each class, save the feature data as ARFF with different names
and open them later in the Weka GUI.
Let me know if you need more help!
ignacio
>
> Please help, thanks a lot.
>
> Regards,
> Marcelo
>
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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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