Watershed segmentation

Watershed is the term that commonly refers to a mathematical morphology operation that treats a grayscale image as a topographic map and segments the image. The segmentation is performed by a succesive 'flooding' operation from minima in the image starting from different points and separates the image in different catchment basins.|Needs a comment about the relation between the Watershed and Region growing.

Synonyms
Watershed transformation
Watershed-based segmentation

Nuclei Segmentation 2D watershed (NucSeg3DThr-ImageJ)

Workflow
Description

The macro will segment nuclei and separate clustered nuclei in a 3D image using a 2D Gaussian blur, followed by Thresholding, 2D hole filling and a 2D watershed. As a result an index-mask image is written for each input image.

has topic
Bioimage informatics
has function
Cell segmentation
Watershed segmentation
Morphological operation
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Nuclei Segmentation (Python)

Workflow
Description

This workflow processes images of cells with discernible nuclei and outputs a binary mask containing where nuclei are detected.

has function
Adaptative thresholding
Watershed segmentation
Object detection
Smoothing
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Nuclei Segmentation 3D Watershed (NucleiSegmentation3D-ImageJ)

Workflow
Description

The macro will segment nuclei and separate clustered nuclei in a 3D image using a distance transform watershed. As a result an index-mask image is written for each input image.

has function
Image segmentation
Watershed segmentation
Smoothing
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Watershed (ImageJ ij-1.52i)

Component
Description

Performs watershed algotirhm with ij-1.52i.jar. legacy:ij.plugin.filter.EDM("watershed").

has function
Watershed segmentation
need a thumbnail
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