yt-napari 09: Image segmentation and classification with yt-napari and other plugins

This video walks through a number of ways to segment and classify yt data loaded into napari via yt-napari

- manual image segmentation
- segmentation wtih multiple Otsu thresholding
- morphological watershed transformations using napari-simpleitk-image-processing
- segmentation via filtering, thresholding and connectivity to label high-density domains

It also describes:

- how to sample multiple fields within label regions
- how to use the napari-clusters-plotter interactive plotter to map scatter plot and histogram distributions to spatial distributions
- kmeans clustering with napari-clusters-plotter using multiple image layer fields