Segmentation > Watershed
Segments the Current Image by first interpreting its grayscale values as topography (ie, basins within level ground). A rainfall simulation is then run such that areas of similar intensity are separated from others, where their basins fill to meet .
Helps confine feature outlines near your marked locations. Choose to use the selection in a Memory Image as markers to control watershed. Forces “basins” to be formed at the marker locations prior to the watershed algorithm being run.
- High: Works better for separating features with high pixel density
- Low: Works better for separating features with low pixel density (more pixelated)
Thickness of watershed lines
Controls strength of feature detection. Increase slider to create more feature outlines.
- Powerful algorithm that can be used in combination with Pre-Processing and Find Texture filters to identify feature boundaries
- When trying to separate already segmented features, use the Separate Features tool instead
 Meyer, Fernand, “Topographic distance and watershed lines,” Signal Processing , Vol. 38, July 1994, pp. 113-125.
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