Module: H-Minima ()
This module merges regional minima based on a contrast coefficient criterion h.
The input is added to the contrast coefficient h, then a Grayscale Reconstruction / Reconstruction By Erosion is performed on the result of the addition. The regional minima of the reconstructed image are called the H-Minima.
This commands is useful for filtering noisy minima sets. It can also be used as particle markers in various algorithms, e.g., watershed detection.
See also: H-Maxima, Regional Maxima, Regional Minima, Reconstruction By Dilation, Reconstruction By Erosion.
Input Image [required]
The image to be processed. Supported types are: grayscale/color image excepted 32-bit signed and floating point (Uniform Scalar Field/Uniform Color Field).
Interpretation
This port specifies whether the input will be interpreted as a 3D volume or a stack of 2D images for processing.
- "3D": the module configuration is set to 3D. The image will be processed as a whole in 3D.
- "XY planes": the module configuration is set to 2D. The image will be processed slice per slice.
Neighborhood
In 3D configuration, this port refers to the type of connectivity considered for processing adjacent voxels:
- 6: voxels with a common face are considered connected
- 18: voxels with at least one common edge are considered connected
- 26: voxels with at least one common vertex are considered connected
Contrast
This port specifies the merging coefficient. Higher values increase the number of merged minima, therefore reduce the final number of remaining isolated minima.