Seeded Watershed

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.

Options

With Watersheds: If checked, the watersheds (i.e. the pixels where two regions touch each other) are labeled extra with 'Watershed'. The 'Use Threshold'-option will then be not available anymore.
Use Threshold: If the specified threshold value should be used.
Threshold Value: Set the threshold where the watershed should stop no matter if another water basin was reached.

Column Selection

Column Creation Mode: Mode how to handle the selected column. The processed column can be added to a new table, appended to the end of the table, or the old column can be replaced by the new result
Column Suffix: A suffix appended to the column name. If "Append" is not selected, it can be left empty.
Column Selection: Selection of the columns to be processed.

Input Ports

: Images and Seeds

Output Ports

: Labeling

Popular Predecessors

Popular Successors

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
- 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.
- XML
-- XML tree
- Histogram Viewer
-- This viewer shows the histogram of the currently selected image.
- 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.
- 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.

Workflows

Developers

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Installation

To use this node in KNIME, install the extension KNIME Image Processing from the below update site following our NodePit Product and Node Installation Guide:

v5.3

A zipped version of the software site can be downloaded here.

Plugin provider: University of Konstanz

Plugin version: 1.8.3.v202403231009

On NodePit since: 2024-07-11

Last update: 2024-11-21

Tags: Streamable

KNIME versions: v5.3, v5.2, v5.1, v4.7, v4.6, v4.5, v4.4, v4.3, v4.2, v4.1, v4.0, v3.7, v3.6

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