Feature Detection

Feature Detection is always the first step in tobac. These pages serve to go more in depth on Feature Detection parameters and options and the implications of using each of them.

• Threshold Feature Detection Parameters
  • Basic Operating Procedure
  • Target
  • Thresholds
  • Minimum Threshold Number
  • Feature Position
  • Filtering Options
  • Minimum Distance
• Feature Detection Output
• How multiple thresholds changes the features detected
  • Imports
  • Generate Feature Data
  • Single Threshold
  • Multiple Thresholds
• How n_min_threshold changes what features are detected
  • Imports
  • Generate Feature Data
  • No n_min_threshold
  • Increasing n_min_threshold
  • Different n_min_threshold for different threshold values
  • Strict Thresholding (strict_thresholding)
• Different threshold_position options
  • Imports
  • Generate Feature Data
  • position_threshold='center'
  • position_threshold='extreme'
  • position_threshold='weighted_diff'
  • position_threshold='weighted_abs'
  • All four methods together
• tobac Feature Detection Filtering
  • Imports
  • Generate Feature Data
  • Gaussian Filtering (sigma_threshold parameter)
  • Erosion (n_erosion_threshold parameter)