{"id":"W4415719947","doi":"10.18280/ts.420524","title":"Contour Extraction and Size Estimation of Garment Images Based on Edge Detection and Morphological Analysis","year":2025,"lang":"","type":"article","venue":"Traitement du signal","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Morphological analysis; Edge detection; Pattern recognition (psychology); Morphological gradient; Mathematical morphology; Enhanced Data Rates for GSM Evolution; Feature extraction; Shape analysis (program analysis)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009013293,0.0003152752,0.0005585637,0.0005003745,0.0001999087,0.0001242503,0.00005062714,0.0002999732,0.0003380279],"category_scores_gemma":[0.0001118964,0.0003034477,0.0001852691,0.000742392,0.00007254834,0.0001702293,0.00002133338,0.0002732048,0.000002983411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001924448,"about_ca_system_score_gemma":0.00002774756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001450642,"about_ca_topic_score_gemma":0.00001397196,"domain_scores_codex":[0.997921,0.0002261827,0.0008158638,0.0004448446,0.0003512239,0.0002409],"domain_scores_gemma":[0.998862,0.0005202527,0.000244229,0.0001738563,0.0001041882,0.00009543905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00132131,0.0003838705,0.001494957,0.0004674138,0.001059361,0.00001599509,0.0001754699,0.4577477,0.2848086,0.00009379838,0.0001615364,0.25227],"study_design_scores_gemma":[0.00259464,0.0009525729,0.08081222,0.0002124657,0.00127506,0.000006125748,0.0001866442,0.8197556,0.09370633,0.00004914338,0.0001918474,0.0002573371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6375584,0.0002169963,0.3604131,0.00007483445,0.0004163012,0.000628564,0.00003022508,0.00006238295,0.0005991728],"genre_scores_gemma":[0.9992117,0.00005136241,0.0004311622,0.00003909356,0.0001120489,0.00005611118,0.000008009275,0.00001375321,0.00007674078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3620079,"threshold_uncertainty_score":0.9999418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313967596003911,"score_gpt":0.2567892878169228,"score_spread":0.2436496118568837,"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."}}