Labels in label images can be classified according to their shape and size or to intensity measurements derived from a corresponding intensity image.
Open your data set. Start the CLIJx-Assistant and follow these steps:
- Your dataset
- CLIJx-Assistant Starting point
- Thresholding (e.g. Otsu)
- Connected Components Labeling
- Weka Label Classifier
- Connected Components Labeling
- Thresholding (e.g. Otsu)
- CLIJx-Assistant Starting point
In the dialog of the classifier, make sure to select the right intensity input image.
<iframe src="images/weka_object_classifier.mp4" width="540" height="260"></iframe> [Download video](images/weka_object_classifier.mp4)Furthermore, choose the right features, depending on your desired analysis (shape, intensity), by clicking on the "Features..." button:
Note: For technical reasons, the model files are not compatible with traditional Trainable Weka Segmentation.
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