{"id":"W1672651452","doi":"10.1109/iscas.2002.1009958","title":"Canny edge based image expansion","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bilinear interpolation; Bicubic interpolation; Canny edge detector; Stairstep interpolation; Interpolation (computer graphics); Image gradient; Artificial intelligence; Deriche edge detector; Computer vision; Mathematics; Enhanced Data Rates for GSM Evolution; Image scaling; Pixel; Demosaicing; Edge detection; Image (mathematics); Computer science; Algorithm; Image processing; Multivariate interpolation; Binary image","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":[0.0008731991,0.0008431516,0.0008227336,0.002493443,0.0005712596,0.0006910362,0.001064414,0.0009892974,0.006116908],"category_scores_gemma":[0.001783437,0.000472002,0.0006484425,0.001772608,0.0006688435,0.001654956,0.0008321769,0.001100711,0.003469814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005382005,"about_ca_system_score_gemma":0.0007703831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002070648,"about_ca_topic_score_gemma":0.002847771,"domain_scores_codex":[0.998749,0.0001439812,0.00004502624,0.0001757562,0.0008103602,0.00007593197],"domain_scores_gemma":[0.998964,0.0001961087,0.00006776896,0.0001524377,0.0005798629,0.00003991557],"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":[0.0004432948,0.00009763785,0.0005691633,0.0005776315,0.00005847434,0.0002105856,0.00009070279,0.01287844,0.1802989,0.01309945,0.009000158,0.7826755],"study_design_scores_gemma":[0.00006883228,0.0004375453,0.004870991,0.0001180809,0.0001538271,0.002399954,0.00007288062,0.4208337,0.4774663,0.007300055,0.0860224,0.0002553996],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008099577,0.001239188,0.9816272,0.0001179036,0.0001842078,0.0001393367,0.00008915111,0.002792215,0.005711267],"genre_scores_gemma":[0.07277635,0.001371589,0.913083,0.000215444,0.000139376,0.0001164897,0.0003308117,0.0003251888,0.01164169],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006116908,"threshold_uncertainty_score":0.02046305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209584733312898,"score_gpt":0.2691881410219382,"score_spread":0.2570922936888093,"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."}}