Extract measurements from a subsample grayscale image

WorkflowWithRoi This example demonstrates how to use different ImageViz engines in order to analyze a subsample dataset.

DESCRIPTION:

This example illustrates how a standard image processing workflow can be implemented. Each step is applied from loading a grayscale image to displaying results of an analysis.

All parameters of the workflow engines are exposed in the user interface, the user can change the parameters and verify the result on the output image.

The workflow is made up of two main steps:

• Segmentation
  • input image thresholding with SoThresholdingProcessing,
  • separation of connected objects with SoThresholdingProcessing,
  • elimination of incomplete objects, since connected to image borders, with SoBorderKillProcessing,
  • objects labelization with SoLabelingProcessing engine
• Analysis
  • measurement of equivalent diameters removing smallest objects with SoFilterAnalysisQuantification,
  • removal of the smallest objects with SoLabelFilteringProcessing.

SEE ALSO

SoProxyDataAdapter, SoThresholdingProcessing, SoSeparateObjectsProcessing, SoBorderKillProcessing, SoLabelingProcessing, SoDataMeasurePredefined, SoLabelFilteringAnalysisQuantification, SoLabelFilteringProcessing

SCREENSHOT:

FILES:

• ImageViz/Workflow/WorkflowWithRoi/WorkflowWithRoi.cxx

NOTE:

Note for Windows C++ users: Unlike most ImageViz examples, no project is delivered for this example. This project can be generated using CMake. Please refer to the building examples instructions for more details. (http://developer97.openinventor.com/node/18787)