{"id":"W2003660891","doi":"10.1109/tim.2010.2069850","title":"Fabric Texture Analysis Using Computer Vision Techniques","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Fast Fourier transform; Fractal; Woven fabric; Artificial intelligence; Surface finish; Computer vision; Computer science; Surface roughness; Fractal dimension; Surface (topology); Algorithm; Computer graphics (images); Mathematics; Geometry; Engineering; Mathematical analysis; Materials science; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003453363,0.0005166897,0.000563901,0.003422968,0.0002492461,0.001047936,0.0004740669,0.0005483141,0.001718128],"category_scores_gemma":[0.0009983074,0.0002495217,0.000682272,0.001457145,0.000351041,0.0007077766,0.0003524411,0.0004321039,0.0006219023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004893027,"about_ca_system_score_gemma":0.0002973951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00173914,"about_ca_topic_score_gemma":0.001579292,"domain_scores_codex":[0.9994975,0.00004878934,0.0000251812,0.0001165679,0.0002513095,0.00006066416],"domain_scores_gemma":[0.9996127,0.0001265804,0.0000613191,0.00005828564,0.0001265108,0.00001452751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001814734,0.00009226882,0.002295238,0.0003238418,0.0001099717,0.0001566414,0.00009801117,0.02695679,0.2329097,0.003650124,0.00148905,0.7317368],"study_design_scores_gemma":[0.00004521281,0.0002171339,0.01972519,0.00006016195,0.00009682254,0.0007820536,0.0001200647,0.7876244,0.1760199,0.004897105,0.01032413,0.00008777872],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0608676,0.0007919003,0.9326077,0.00009288475,0.00005460704,0.00006299766,0.0001358168,0.001841787,0.003544631],"genre_scores_gemma":[0.421811,0.001242685,0.5730786,0.00008170871,0.00008289165,0.0001012377,0.0003074611,0.0001738078,0.003120535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003422968,"threshold_uncertainty_score":0.005747736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02531950233936905,"score_gpt":0.2572308427386,"score_spread":0.2319113403992309,"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."}}