{"id":"https://openalex.org/W2558768385","doi":"https://doi.org/10.1109/cec.2016.7744276","title":"Figure-ground image segmentation using genetic programming and feature selection","display_name":"Figure-ground image segmentation using genetic programming and feature selection","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2558768385","doi":"https://doi.org/10.1109/cec.2016.7744276","mag":"2558768385"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2016.7744276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7744276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057161595","display_name":"Yuyu Liang","orcid":"https://orcid.org/0000-0003-4554-344X"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Yuyu Liang","raw_affiliation_strings":["School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400258","display_name":"Mengjie Zhang","orcid":"https://orcid.org/0000-0003-4463-9538"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Mengjie Zhang","raw_affiliation_strings":["School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065533636","display_name":"Will N. Browne","orcid":"https://orcid.org/0000-0001-8979-2224"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Will N. Browne","raw_affiliation_strings":["School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I41156924"],"apc_list":null,"apc_paid":null,"fwci":0.9706,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79335405,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"3","issue":null,"first_page":"3839","last_page":"3846"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9775999784469604,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7633247375488281},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7566231489181519},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7036340236663818},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.68492192029953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6843116283416748},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.6554775238037109},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6535698771476746},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.6346173882484436},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6284127235412598},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5541881918907166},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4933587610721588},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45535141229629517},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4469173550605774},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4206653833389282},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40041983127593994}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7633247375488281},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7566231489181519},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7036340236663818},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.68492192029953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6843116283416748},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.6554775238037109},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6535698771476746},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.6346173882484436},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6284127235412598},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5541881918907166},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4933587610721588},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45535141229629517},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4469173550605774},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4206653833389282},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40041983127593994},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2016.7744276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7744276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W935683339","https://openalex.org/W1483551924","https://openalex.org/W1483736078","https://openalex.org/W1577581905","https://openalex.org/W1984074188","https://openalex.org/W1995806857","https://openalex.org/W2002175120","https://openalex.org/W2037227137","https://openalex.org/W2041481334","https://openalex.org/W2047751098","https://openalex.org/W2064199329","https://openalex.org/W2073619928","https://openalex.org/W2111522305","https://openalex.org/W2121238376","https://openalex.org/W2133990480","https://openalex.org/W2295105601","https://openalex.org/W3016960874","https://openalex.org/W3162273152","https://openalex.org/W3179188989","https://openalex.org/W4285719527","https://openalex.org/W6776402278","https://openalex.org/W7032949275"],"related_works":["https://openalex.org/W2003276812","https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2372421320","https://openalex.org/W2057775483","https://openalex.org/W2041871225","https://openalex.org/W2386644571","https://openalex.org/W2387793296","https://openalex.org/W1558398159"],"abstract_inverted_index":{"Figure-ground":[0],"segmentation":[1,53,57,152,161],"is":[2,23,73,117],"an":[3],"essential":[4],"but":[5],"difficult":[6],"preprocessing":[7,15],"step":[8],"for":[9,139],"many":[10],"computer":[11],"vision":[12],"and":[13,44,86,173],"image":[14],"tasks,":[16],"such":[17],"as":[18],"object":[19,36],"recognition.":[20],"One":[21],"challenge":[22],"to":[24,135],"separate":[25],"objects":[26],"from":[27],"backgrounds":[28],"on":[29,78,165],"images":[30],"with":[31,81,98,103,143],"high":[32,82],"variations":[33,83],"(e.g.":[34],"in":[35,75,95],"shapes),":[37],"which":[38,55],"requires":[39],"both":[40],"effective":[41],"feature":[42,137,146,156],"sets":[43],"powerful":[45],"segmentors.":[46],"This":[47],"paper":[48],"develops":[49],"a":[50,104],"GP":[51,106],"based":[52,62,107,151],"method,":[54],"transforms":[56],"tasks":[58],"into":[59],"pixel":[60],"classification":[61],"problems.":[63],"To":[64],"control":[65],"the":[66,89,118,122,126,130,144,154,160,166],"complexity":[67],"of":[68,125],"evolved":[69,131,167],"solutions,":[70,101],"parsimony":[71],"pressure":[72],"introduced":[74],"GP.":[76],"Tested":[77],"two":[79],"datasets":[80],"(the":[84],"Weizmann":[85],"Pascal":[87],"datasets),":[88],"proposed":[90],"method":[91,108],"achieves":[92],"similar":[93],"performance":[94],"F\\":[96],"score":[97],"much":[99],"simpler":[100],"compared":[102],"reference":[105],"that":[109,121],"does":[110],"not":[111],"consider":[112],"solution":[113],"complexity.":[114],"Moreover,":[115,163],"it":[116],"first":[119],"time":[120],"occurrence":[123],"rates":[124],"features":[127,176],"used":[128],"by":[129],"solutions":[132,168],"are":[133,177],"studied":[134],"conduct":[136],"selection":[138],"figure-ground":[140],"segmentation.":[141],"Compared":[142],"whole":[145],"set":[147],"using":[148],"traditional":[149],"classifier":[150],"methods,":[153],"selected":[155],"subsets":[157],"can":[158],"improve":[159],"performance.":[162],"analyses":[164],"reveal":[169],"how":[170],"they":[171],"function":[172],"why":[174],"specific":[175],"selected.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}