Use the Trainable Weka Segmentation plugin included with Fiji to classify images. Requires a classification model file, which must be created directly with the plugin. Returns image segmentation or classification probability maps.
This command is only a wrapper for the Trainable Weka Segmentation plugin. If the plugin is not installed, the command will not work.
Image files to segment.
Type: Image File (ij.ImagePlus)
Classification model file. This file can be created from
the Trainable Weka Segmentation plugin by running the
classifier training process, then selecting Save Classifier.
See the plugin documentation
for more information.
Type: Weka Model File
If true, save a map of classification probabilities.
If false (default), save a segmentation mask.
Type: Logical (boolean)
If true, treat the image as an 8-bit RGB stack for purposes of the
Weka classifier.
If false (default), keep the default image settings.
Type: Logical (boolean)
Image containing either a classification probability map
or a segmentation mask, depending on the input value of
Save Probabilities.
Type: Image File (ij.ImagePlus)
