Algorithm Comparison
This table compares all available algorithms to help you choose the right one for your use case.
Algorithm |
Speed |
Precision |
Best For |
|---|---|---|---|
Fast |
High |
General use, most tissue types |
|
Medium |
High |
Marker-based segmentation, clear boundaries |
|
Medium |
High |
Noisy images, probabilistic segmentation |
|
Slow |
Very High |
Irregular boundaries, high precision needed |
|
Very Fast |
Low |
Quick rough segmentation, uniform regions |
|
Fast |
Medium |
Homogeneous regions with clear boundaries |
|
Very Fast |
Variable |
Simple threshold painting, when boundaries are clear |
When to Use Each Algorithm
For Speed
If you need fast results, use Threshold Brush or Connected Threshold.
For Precision
If you need precise boundaries, use Level Set or Geodesic Distance.
For Noisy Images
If your image has noise, use Random Walker which is robust to noise.
For General Use
Geodesic Distance is the recommended default for most use cases.