02.1 Segmentation by thresholding
ThresholdingSegmentation This example demonstrates how to use the SoThresholdingProcessing to create a binary image.
DESCRIPTION:
- Segmentation is a very important step of an image processing workflow. This is where objects to identify in the scene are isolated in a binary or label image.
- The input grayscale image is loaded in an SoImageDataAdapter object.
- A binary image is generated as output of the SoThresholdingProcessing engine.
- A scene graph is built to display the original image in a viewer with the binary image as overlay.
This example shows how to create a binary image from an input grayscale image with a classic thresholding operator. The input image is shown with the resulting thresholded image as overlay.
NOTE:
- Before the segmentation step a pre-processing can be previously applied to enhance the input image, for instance with a denoising step .
- For more information about image segmentation, see section Image Segmentation.
SEE ALSO
SCREENSHOT:
FILES:
- ImageViz/GettingStarted/02.1.ThresholdingSegmentation.cxx