Watershed algorithms. The watershed algorithm segments and labels an image using an analogy to a landscape. The image intensities are turned into the z-height of the landscape and the landscape is "filled with water" and the bodies of water label the landscape's pixels. Here is the reference for the original paper:
Lee Vincent, Pierre Soille, Watersheds in digital spaces: An efficient algorithm based on immersion simulations, IEEE Trans. Pattern Anal. Machine Intell., 13(6) 583-598 (1991)
Watersheds are often performed on the gradient of an intensity image or one where the edges of the object boundaries have been enhanced. The resulting image has a depressed object interior and a ridge which constrains the watershed boundary.
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Column Selection
Views
- Image Viewer
- Another, possibly interactive, view on table cells. Displays the selected cells with their associated viewer if it exists. Available views are:
- Labeling View
-- View on a labeling/segmentation
- Histogram Viewer
-- This viewer shows the histogram of the currently selected image.
- BigDataViewer
-- A viewer shown when the user selects an interval of rows and columns in the viewer. This viewer combines all images and labelings in the selected interval to one image by rendering them next to each other. Alternatively, the images and labelings can be layed over each other.
- Combined View
-- A viewer shown when the user selects an interval of rows and columns in the viewer. This viewer combines all images and labelings in the selected interval to one image by rendering them next to each other. Alternatively, the images and labelings can be layed over each other.
- Image Viewer
-- This viewer renders the selected image-cell.
- Missing Value Viewer
-- An empty viewer that is shown when the input cell has no value to display.
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