Evaluate and Integrate Improved Flame Edge Detection

[m-fehr]

Assignment 6

Compare classical vs. ML-based edge detection and integrate the best solution into FlameTrack.

Tasks

• Quantitative comparison: classical vs. ML (accuracy, robustness)
• Test robustness across image modalities (IR + optical)
• Integrate best method into FlameTrack pipeline
• End-to-end tests for new edge detection

Acceptance Criteria

• Comparison documented with metrics
• Winning method integrated and tested in FlameTrack pipeline