{"id":"W2082896493","doi":"10.1142/s0219691306001142","title":"IMAGE RETRIEVAL BASED ON REGION SEPARATION AND MULTIRESOLUTION ANALYSIS","year":2006,"lang":"en","type":"article","venue":"International Journal of Wavelets Multiresolution and Information Processing","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Artificial intelligence; Color histogram; Computer vision; Pattern recognition (psychology); Multispectral image; Color image; Computer science; Histogram; Image gradient; Color normalization; Image retrieval; Mathematics; Image (mathematics); Image processing","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":[0.0008399192,0.000651543,0.001671399,0.003668826,0.0004314555,0.001302495,0.001223038,0.000818371,0.001830337],"category_scores_gemma":[0.002813169,0.0003340642,0.0009322766,0.003444606,0.0004952156,0.003318183,0.001006104,0.0007021396,0.002059791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004689403,"about_ca_system_score_gemma":0.0003928241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001190878,"about_ca_topic_score_gemma":0.0008357259,"domain_scores_codex":[0.9983672,0.0002403121,0.00008231114,0.0002876546,0.0009266567,0.00009577205],"domain_scores_gemma":[0.9989585,0.0002578588,0.0001075748,0.0003268531,0.0003094409,0.00003990785],"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":[0.0003092442,0.00011826,0.0003983624,0.0003459117,0.0001199029,0.0001977327,0.0001886951,0.009927328,0.2193139,0.01060555,0.004509911,0.7539652],"study_design_scores_gemma":[0.0001669335,0.0005740795,0.003882954,0.00005521819,0.0002801461,0.002993067,0.0002424651,0.6954507,0.2414863,0.02427499,0.03033736,0.0002557349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01214599,0.001864029,0.9827407,0.00009982925,0.00007428075,0.0001240789,0.0001037029,0.001545603,0.001301765],"genre_scores_gemma":[0.129543,0.001399511,0.8658364,0.0001512797,0.0002211117,0.0001443034,0.0005443322,0.0002446148,0.001915353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003668826,"threshold_uncertainty_score":0.006123066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00966222872104174,"score_gpt":0.273170621683593,"score_spread":0.2635083929625512,"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."}}