Re: Creating DataSet after building classification with Trainable Weka Segmentation

Posted by marcelo_chong on Aug 23, 2014; 8:51am
URL: http://imagej.273.s1.nabble.com/Creating-DataSet-after-building-classification-with-Trainable-Weka-Segmentation-tp5009283p5009313.html

Hi Ignacio,

Thanks for your reply, I tried immediately after reading your reply

1. For the stack image sequence, it works. Just one question abt it, do i have

to load in all the same dimension images? Coz some images are not in the same size.



2. This one I don't readily get it. First I train 15 images and it save to data-train.arff,. I check the arff file and it got 119 attributes with 4867 instances, which the last attribute is the classification. Then now, I got another 10 images, and I want to know if i use the previous training data to build up a Tree or whatever, will it correctly classification this 10 images. So first, I want to extract the 118 attributes(-1 for the classification attribute) from the 10 images. I open the 10 images in Fiji, and open the TWS, in the TWS, I "Load Data" and open the data-train.arff.  Then, what shall I do to turn the 10 images into 10 instances with 118 attribute ARFF file ?


thanks.

Regards,
Marcelo