{"id":"W2146297113","doi":"10.1109/icsmc.1991.169692","title":"Direct mapping between histograms: an improved interactive image enhancement method","year":2002,"lang":"en","type":"article","venue":"","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Histogram; Histogram matching; Balanced histogram thresholding; Adaptive histogram equalization; Contouring; Image histogram; Computer science; Artificial intelligence; Histogram equalization; Pattern recognition (psychology); Image (mathematics); Algorithm; Computer vision; Mathematics; Image processing; Computer graphics (images); Color 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005761057,0.0002508991,0.0002911963,0.0002044357,0.0001309289,0.0002900988,0.00113978,0.00005963447,0.0004937365],"category_scores_gemma":[0.00004270709,0.0002329421,0.00009231367,0.0004055778,0.00004376505,0.002108036,0.0004270962,0.0001925433,0.0001498815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002329995,"about_ca_system_score_gemma":0.00001289082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001523579,"about_ca_topic_score_gemma":0.000010968,"domain_scores_codex":[0.9979715,0.0001978688,0.0003728052,0.0007172702,0.0002789902,0.0004615108],"domain_scores_gemma":[0.9985287,0.0001342515,0.0001649092,0.000914575,0.0001305985,0.0001270244],"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":[0.000002318076,0.0002023531,0.00003534089,0.00001323997,0.00004931001,0.000009439645,0.00216515,1.877578e-7,0.2723397,0.0004928326,0.004615748,0.7200744],"study_design_scores_gemma":[0.0002593914,0.000368805,0.0001459319,0.00003149874,0.0000116123,0.000003460749,0.0000762557,0.06698386,0.9074339,0.0005618479,0.02365733,0.0004661294],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005254915,0.00004397488,0.9219642,0.0004345544,0.0001787412,0.0003852683,0.000001365185,0.001105309,0.07536109],"genre_scores_gemma":[0.1700096,0.00001160193,0.824784,0.0004234426,0.00008824262,0.0001000017,0.00000422629,0.00001702441,0.004561947],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7196082,"threshold_uncertainty_score":0.9499101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03103125279035268,"score_gpt":0.3054722557823735,"score_spread":0.2744410029920208,"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."}}