Extract ROIs

The Extract ROIs command reads the labelled image produced by Connected Components (or Watershed) and creates one segmentation-class object per labelled region. These objects are the raw candidates passed to Classify ROIs for final filtering and class assignment.

Parameters

Parameter	Description
Max objects before fail	Hard upper limit on the number of regions extracted. If more regions are found the pipeline step fails, preventing runaway processing on misconfigured segmentation (default: –1 = unlimited)

Pipeline position

Threshold → Connected Components → [Watershed] → Extract ROIs → Classify ROIs

Extract ROIs is always followed by Classify ROIs. The segmentation class assigned here is the intermediate class used internally; the final named object class is assigned by Classify ROIs.

New in EVAnalyzer vs ImageC

In the predecessor application (ImageC), region extraction and classification were combined into a single Classifier step. EVAnalyzer splits them into Extract ROIs (geometry extraction) and Classify ROIs (filtering + class assignment) for greater flexibility and clearer pipeline structure.