IntensityAnalyzer

Intensity Analyzer for adaptive brush threshold estimation.

This module provides automatic intensity threshold estimation using Gaussian Mixture Models (GMM) or simple statistics as a fallback.

Classes

class IntensityAnalyzer

Analyze image intensities to estimate segmentation thresholds.

This class fits a Gaussian Mixture Model to the intensity distribution within a region of interest and identifies the component containing the seed point to compute optimal thresholds.

Methods:

__init__()

Initialize the analyzer.

analyze()

Analyze intensity distribution around seed point.

Functions

analyze()

Analyze intensity distribution around seed point.

Args:

image: Image array (z, y, x ordering for 3D). seed_point: Seed point coordinates (x, y, z). radius_voxels: Optional ROI radius in voxels. If None, uses

a default radius of 20 voxels.

edge_sensitivity: How strictly to follow intensity boundaries.

0.0 = permissive (wide thresholds), 1.0 = strict (narrow thresholds).

Returns:
Dictionary with:

  • ‘lower’: Lower intensity threshold

  • ‘upper’: Upper intensity threshold

  • ‘mean’: Estimated mean of seed region

  • ‘std’: Estimated std of seed region

  • ‘n_components’: Number of GMM components (if GMM used)