{"id":"W2146479507","doi":"10.1109/crv.2011.44","title":"A Fuzzy C-Means Based Spatial Pixel and Membership Relationships for Image Segmentation","year":2011,"lang":"en","type":"article","venue":"","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pixel; Robustness (evolution); Artificial intelligence; Fuzzy logic; Segmentation; Image segmentation; Computer science; Pattern recognition (psychology); Cluster analysis; Noise (video); Sensitivity (control systems); Spatial analysis; Image (mathematics); Computer vision; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001052288,0.0007861303,0.001011483,0.001917224,0.001175405,0.001082349,0.001881167,0.002120956,0.001822338],"category_scores_gemma":[0.002725638,0.0005290002,0.001299748,0.001864764,0.0008384555,0.001404171,0.0008533994,0.001234661,0.000711064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592419,"about_ca_system_score_gemma":0.002526836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01870672,"about_ca_topic_score_gemma":0.01258743,"domain_scores_codex":[0.9987375,0.0001616103,0.00005499668,0.0003435141,0.0006164011,0.00008598584],"domain_scores_gemma":[0.9994283,0.0001374319,0.0000510346,0.00005420779,0.0003035721,0.00002546448],"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":[0.000175316,0.0001104589,0.0008683902,0.0002615432,0.0001242761,0.0001542459,0.0002312259,0.4152297,0.02843556,0.01653939,0.005221857,0.532648],"study_design_scores_gemma":[0.000007504292,0.00001899989,0.0002128429,0.00001321304,0.00001406797,0.00005151462,0.00001197436,0.9898156,0.006150902,0.001695535,0.001984008,0.00002388006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004741576,0.000320802,0.993246,0.0001064578,0.00004186387,0.00004619145,0.00004364111,0.0004921716,0.0009613479],"genre_scores_gemma":[0.09306969,0.0003521592,0.9035534,0.000130568,0.00005849745,0.0001745942,0.0001730941,0.0001027052,0.002385323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01870672,"threshold_uncertainty_score":0.03719562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07309874455261064,"score_gpt":0.2366927705808432,"score_spread":0.1635940260282326,"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."}}