SoGrayscaleResconstructionProcessing Class Reference
[Geodesic Transformations]

ImageViz SoGrayscaleResconstructionProcessing engine More...

#include <ImageViz/Engines/MathematicalMorphology/GeodesicTransformations/SoGrayscaleResconstructionProcessing.h>

Inheritance diagram for SoGrayscaleResconstructionProcessing:
SoImageVizEngine SoEngine SoFieldContainer SoBase SoRefCounter SoTypedObject

List of all members.

Public Types

enum  ReconstructMode {
  DILATION = 0,
  EROSION = 1
}

Public Member Functions

 SoGrayscaleResconstructionProcessing ()

Public Attributes

SoSFEnum computeMode
SoSFEnum neighborhood3d
SoSFEnum reconstructMode
SoSFImageDataAdapter inMaskImage
SoSFImageDataAdapter inMarkerImage
SoImageVizEngineOutput
< SoSFImageDataAdapter,
SoImageDataAdapter * > 
outImage

Detailed Description

ImageViz SoGrayscaleResconstructionProcessing engine

The SoGrayscaleResconstructionProcessing engine removes the light points in a dark image (case Dilation) or the dark points in a light image (case Erosion).

It performs a numerical reconstruction from a grayscale marker image into the grayscale input image.

Case Dilation

This case of use removes the light points in a dark image.

At each step the marker image is dilated by a structuring element of size 1. This algorithm is based on a recursive method whereby the minimum of the dilated image and the mask image is retained and used as the marker image at the next step. This operation is repeated until stability. The number of iterations depends on the input image and the marker image. As shown in the figure 1, peaks and ridges are levelled down, which results in a much more homogeneous output image.

SoGrayscaleResconstructionProcessing_image01.png

Figure 1: 1D example of the of the reconstruction by DILATION

Case Erosion

This case of use removes the dark points in a light image.

At each step the marker image is eroded by a structuring element of size 1. This algorithm is based on a recursive method whereby the maximum of the eroded image and the mask image is retained and used as the marker image at the next step. This operation is repeated until stability. The number of iterations depends on the input image and the marker image. As shown in the figure 2, the valleys are levelled up, which results in a much more homogeneous output image.

SoGrayscaleResconstructionProcessing_image02.png

Figure 2: 1D example of the of the reconstruction by EROSION

This algorithm is used by the SoHExtremaProcessing engine.

SEE ALSO

SoHExtremaProcessing, SoMarkerBasedWatershedProcessing.

FILE FORMAT/DEFAULT


Library references: dualreconstruct numreconstruct


Member Enumeration Documentation

Enumerator:
DILATION 

This mode implements case Dilation.

EROSION 

This mode implements case Erosion.


Constructor & Destructor Documentation

SoGrayscaleResconstructionProcessing::SoGrayscaleResconstructionProcessing (  ) 

Constructor.


Member Data Documentation

Select the compute Mode (2D or 3D or AUTO) Use enum ComputeMode.

Default is MODE_AUTO

The input grayscale marker image containing seeds for reconstruction.

Default value is NULL. Supported types include: grayscale binary label image.

The input grayscale mask image constraining reconstruction.

Default value is NULL. Supported types include: grayscale binary label image.

In 3D configuration (see computeMode), the neighborhood connectivity defines the connectivity considered for processing adjacent voxels.

Use enum Neighborhood3d. Default is CONNECTIVITY_26.

The output image.

Default value is NULL. Supported types include: grayscale binary label color image.

Select the reconstruction mode to use.

Use enum ReconstructMode. Default is EROSION


The documentation for this class was generated from the following file:

Open Inventor Toolkit reference manual, generated on 15 Mar 2023
Copyright © Thermo Fisher Scientific All rights reserved.
http://www.openinventor.com/