The following list shows you the recommended segmentation method for your given scenario:

Scenario

Recommended Method

High contrast, uniform intensity

Global thresholding

Uneven illumination

Dynamic threshold / Background subtraction

Slightly touching objects

Threshold + watershed

Complex textures or signals

Intellesis Segmentation / AI Semantic segmentation (arivis Cloud)

Overlapping or dense objects

AI Instance segmentation (arivis Cloud)

Key Takeaways

  • Segmentation converts images into measurable objects
  • ZEN and ZEN core offer classical, machine learning, and AI-based segmentation methods
  • Classical methods are fast and best for simple images
  • Intellesis enables flexible, trainable segmentation directly in ZEN / ZEN core
  • AI-based segmentation provides the highest accuracy for complex or overlapping objects
  • Choosing the right method depends on image complexity and analysis goals