This step in the image analysis enables you to specify how objects are detected. All the objects detected with the current settings are highlighted in the image.

1. If not all objects are detected automatically, it is better to adjust the parameters so that too many objects are detected. You can then use the following steps to exclude objects, for example based on their size or roundness.
2. You can manually add or remove objects that are difficult to detect in a later step.

1. If you want this step to be included when the analysis is run, activate Execute.
2. Otherwise the step is skipped.
2. If you want a user to be able to adjust the settings in this step when the analysis is run, activate Interactive.
3. Select the class for which you wish to modify the settings.
4. You can specify different settings for each class.
4. Select the Segmentation Method for the class from the dropdown, or click Explore
5. The dialog for segmentation method selection opens. This dialog is also opened automatically when you enter the step.
5. Select the method you want to use for segmentation of the selected class, and click OK.
6. The dialog closes and the available parameters are changed based on your method selection. For detailed information about each possible parameter, see Automatic Segmentation.
6. Use the displayed parameters to configure the segmentation of objects in your image.
7. The segmentation masks are displayed and updated in the image.
7. Click Next.