{"id":"W1963640979","doi":"10.1109/ist.2013.6729679","title":"Color range determination and alpha matting for color images","year":2013,"lang":"en","type":"article","venue":"","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ross Video (Canada); University of Ottawa","funders":"","keywords":"Artificial intelligence; Computer science; Cluster analysis; Segmentation; Computer vision; Metric (unit); Image segmentation; Alpha (finance); Color space; Image (mathematics); Pattern recognition (psychology); Mathematics; Statistics","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":[0.0006182418,0.001066435,0.000625928,0.00167756,0.0003844183,0.001177166,0.001132647,0.000599641,0.002375758],"category_scores_gemma":[0.002255165,0.0005262666,0.0008628877,0.001279908,0.0006543931,0.001795365,0.0006154666,0.001101236,0.001746386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004705868,"about_ca_system_score_gemma":0.0004643775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001211497,"about_ca_topic_score_gemma":0.001259358,"domain_scores_codex":[0.9989335,0.0001292383,0.00006342476,0.0003382179,0.0004727908,0.00006286797],"domain_scores_gemma":[0.998696,0.0002499559,0.0002071816,0.0002695368,0.000519352,0.00005808753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002220228,0.00004896615,0.001063284,0.0003215891,0.00006445558,0.0001687187,0.0002447164,0.01781882,0.1651009,0.009705693,0.002295082,0.8029459],"study_design_scores_gemma":[0.00002362451,0.0002325531,0.003486181,0.00004919603,0.00008319555,0.001656737,0.0001330066,0.570114,0.3925464,0.006101031,0.02546898,0.0001051376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004592461,0.0002564578,0.9931834,0.00003091285,0.00004553812,0.00002462672,0.00002312368,0.001034207,0.0008092739],"genre_scores_gemma":[0.1069514,0.0007273127,0.8883709,0.00006832284,0.00009807912,0.00006008117,0.0002167776,0.0003919171,0.00311511],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002375758,"threshold_uncertainty_score":0.007947683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0100902473632673,"score_gpt":0.2563839124623894,"score_spread":0.2462936650991221,"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."}}