Creating DataSet after building classification with Trainable Weka Segmentation

Posted by marcelo_chong on Aug 21, 2014; 7:24am
URL: http://imagej.273.s1.nabble.com/Creating-DataSet-after-building-classification-with-Trainable-Weka-Segmentation-tp5009283.html

Subject: Creating DataSet after building classification with Trainable Weka
Segmentation
Hi,

I am new to imageJ, and I have 2 questions would like to ask

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?

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 ?

Please help, thanks a lot.

Regards,
Marcelo

--
ImageJ mailing list: http://imagej.nih.gov/ij/list.html