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The 25x25 dilation kernel merges nearby green words into large regions, so pixel-overlap with OCR word boxes drops below 50%. Previous density checks alone weren't sufficient. New multi-layered approach: - Count OCR word CENTROIDS inside each colored region - ≥2 centroids → definitely text (images don't produce multiple words) - 1 centroid + 10%+ pixel overlap → likely text - Lower pixel overlap threshold from 50% to 40% - Raise density+height thresholds for text-line detection - Use INFO logging to diagnose remaining false positives Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>