{"id":"W4382395297","doi":"10.18280/ts.400347","title":"Enhanced Canny Algorithm for Image Edge Detection in Print Quality Assessment","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canny edge detector; Artificial intelligence; Computer science; Deriche edge detector; Computer vision; Enhanced Data Rates for GSM Evolution; Edge detection; Image gradient; Image (mathematics); Pattern recognition (psychology); Algorithm; Image processing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00163047,0.0008201711,0.0008735828,0.002838636,0.0005985187,0.0009908349,0.001267716,0.001364616,0.00247966],"category_scores_gemma":[0.003380488,0.0004458374,0.0006681497,0.002661824,0.0006235187,0.001411811,0.0006021349,0.001092032,0.001303043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009193294,"about_ca_system_score_gemma":0.001433697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004004218,"about_ca_topic_score_gemma":0.006034426,"domain_scores_codex":[0.9973332,0.0004526294,0.0001170414,0.0003564395,0.001619945,0.000120851],"domain_scores_gemma":[0.9984292,0.0003591691,0.0001568779,0.0001642681,0.0008594352,0.00003090998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003883664,0.0001432985,0.001830568,0.0006437401,0.0001209472,0.0002914508,0.0001729304,0.03705417,0.1267662,0.01559287,0.006928856,0.8100666],"study_design_scores_gemma":[0.00005154405,0.0003620973,0.006941457,0.00009980542,0.0001365369,0.001392877,0.00008220864,0.7562071,0.1812032,0.007608552,0.0457112,0.0002033836],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008049749,0.001298229,0.9873955,0.00007186255,0.00006814097,0.00009531025,0.00006708319,0.0009186624,0.002035488],"genre_scores_gemma":[0.06364607,0.0009512651,0.9310713,0.00006753452,0.0000611675,0.0001145045,0.0001428069,0.0001497596,0.003795588],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004004218,"threshold_uncertainty_score":0.008622825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03811831996203321,"score_gpt":0.3093204559144928,"score_spread":0.2712021359524596,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}