{"id":"https://openalex.org/W2811048432","doi":"https://doi.org/10.1155/2018/1083876","title":"A Multiobjective Piglet Image Segmentation Method Based on an Improved Noninteractive GrabCut Algorithm","display_name":"A Multiobjective Piglet Image Segmentation Method Based on an Improved Noninteractive GrabCut Algorithm","publication_year":2018,"publication_date":"2018-07-03","ids":{"openalex":"https://openalex.org/W2811048432","doi":"https://doi.org/10.1155/2018/1083876","mag":"2811048432"},"language":"en","primary_location":{"id":"doi:10.1155/2018/1083876","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/1083876","pdf_url":"http://downloads.hindawi.com/journals/am/2018/1083876.pdf","source":{"id":"https://openalex.org/S4210205703","display_name":"Advances in Multimedia","issn_l":"1687-5680","issn":["1687-5680","1687-5699"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Multimedia","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://downloads.hindawi.com/journals/am/2018/1083876.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031332555","display_name":"Feilong Kang","orcid":"https://orcid.org/0000-0003-4966-0504"},"institutions":[{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feilong Kang","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China"],"raw_orcid":"https://orcid.org/0000-0003-4966-0504","affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China","institution_ids":["https://openalex.org/I120379545"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773601","display_name":"Chunguang Wang","orcid":"https://orcid.org/0000-0001-6709-3422"},"institutions":[{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunguang Wang","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China"],"raw_orcid":"https://orcid.org/0000-0001-6709-3422","affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China","institution_ids":["https://openalex.org/I120379545"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648225","display_name":"Jia Li","orcid":"https://orcid.org/0000-0003-4580-2851"},"institutions":[{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Li","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China"],"raw_orcid":"https://orcid.org/0000-0003-4580-2851","affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China","institution_ids":["https://openalex.org/I120379545"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032711770","display_name":"Zheying Zong","orcid":null},"institutions":[{"id":"https://openalex.org/I120379545","display_name":"Inner Mongolia Agricultural University","ror":"https://ror.org/015d0jq83","country_code":"CN","type":"education","lineage":["https://openalex.org/I120379545"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheying Zong","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China","institution_ids":["https://openalex.org/I120379545"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100773601"],"corresponding_institution_ids":["https://openalex.org/I120379545"],"apc_list":{"value":925,"currency":"USD","value_usd":925},"apc_paid":{"value":925,"currency":"USD","value_usd":925},"fwci":1.0909,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.76946894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2018","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9781000018119812,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9781000018119812,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9739000201225281,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9710999727249146,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7763569355010986},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7401008009910583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6687400341033936},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5883498787879944},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5736734867095947},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5420752763748169},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49832987785339355},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48625290393829346},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48011302947998047},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4719098210334778},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4309011697769165},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42223334312438965},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3079940676689148}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7763569355010986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7401008009910583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6687400341033936},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5883498787879944},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5736734867095947},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5420752763748169},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49832987785339355},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48625290393829346},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48011302947998047},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4719098210334778},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4309011697769165},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42223334312438965},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3079940676689148},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2018/1083876","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/1083876","pdf_url":"http://downloads.hindawi.com/journals/am/2018/1083876.pdf","source":{"id":"https://openalex.org/S4210205703","display_name":"Advances in Multimedia","issn_l":"1687-5680","issn":["1687-5680","1687-5699"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4a82f7f06dbe48d7ad3ef8ea63259b86","is_oa":true,"landing_page_url":"https://doaj.org/article/4a82f7f06dbe48d7ad3ef8ea63259b86","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Advances in Multimedia, Vol 2018 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2018/1083876","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/1083876","pdf_url":"http://downloads.hindawi.com/journals/am/2018/1083876.pdf","source":{"id":"https://openalex.org/S4210205703","display_name":"Advances in Multimedia","issn_l":"1687-5680","issn":["1687-5680","1687-5699"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Multimedia","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.7400000095367432,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2811048432.pdf","grobid_xml":"https://content.openalex.org/works/W2811048432.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W210617966","https://openalex.org/W1966822368","https://openalex.org/W1972292376","https://openalex.org/W1984740701","https://openalex.org/W1994898039","https://openalex.org/W2003099669","https://openalex.org/W2004696315","https://openalex.org/W2009070949","https://openalex.org/W2020611861","https://openalex.org/W2022774691","https://openalex.org/W2050371290","https://openalex.org/W2053289930","https://openalex.org/W2065533005","https://openalex.org/W2073855014","https://openalex.org/W2113637157","https://openalex.org/W2120644479","https://openalex.org/W2124260943","https://openalex.org/W2749075270","https://openalex.org/W3094945457"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4205800335","https://openalex.org/W2055202857","https://openalex.org/W2022929107","https://openalex.org/W80586315","https://openalex.org/W2758994127"],"abstract_inverted_index":{"In":[0,29],"the":[1,11,18,32,80,86,89,99,107,114,128,136,142,146,158,178,198,217],"video":[2,40,184,223],"monitoring":[3,41,185,224],"of":[4,10,14,20,31,37,48,60,88,130,139,161,181,221],"piglets":[5],"in":[6,106,150],"pig":[7],"farms,":[8],"study":[9],"precise":[12],"segmentation":[13,50,74,137,147,214],"foreground":[15,90,115,132,213],"objects":[16],"is":[17,76,94,119,124,153,164,171,200],"work":[19],"advanced":[21],"research":[22],"on":[23,52],"target":[24,116],"tracking":[25],"and":[26,34,63,83,109,113,155,157,174,192,197,206],"behavior":[27,207],"recognition.":[28],"view":[30],"noninteractive":[33,55],"real-time":[35,179],"requirements":[36],"such":[38,103,189],"a":[39,46,222],"system,":[42],"this":[43,151,175],"paper":[44,152],"proposes":[45],"method":[47,75,176,210],"image":[49,93],"based":[51],"an":[53,182],"improved":[54],"GrabCut":[56,122],"algorithm.":[57],"The":[58,92,121,167],"functions":[59],"preserving":[61],"edges":[62,191],"noise":[64],"reduction":[65],"are":[66,111,195],"realized":[67],"through":[68],"bilateral":[69],"filtering.":[70],"An":[71],"adaptive":[72],"threshold":[73,82],"used":[77,125],"to":[78,84,126],"calculate":[79],"local":[81],"complete":[85],"extraction":[87,205],"target.":[91],"simplified":[95],"by":[96],"morphological":[97],"processing;":[98],"background":[100],"interference":[101],"pixels,":[102],"as":[104,190],"details":[105],"grille":[108],"wall,":[110],"filtered,":[112],"marker":[117],"matrix":[118],"established.":[120],"algorithm":[123,148],"split":[127],"pixels":[129],"multiple":[131],"objects.":[133],"By":[134],"comparing":[135],"results":[138,143],"various":[140],"algorithms,":[141],"show":[144],"that":[145],"proposed":[149],"efficient":[154],"accurate,":[156],"mean":[159],"range":[160],"structural":[162],"similarity":[163],"[0.88,":[165],"1].":[166],"average":[168],"processing":[169],"time":[170],"1606":[172],"ms,":[173],"satisfies":[177],"requirement":[180],"agricultural":[183],"system.":[186,225],"Feature":[187],"vectors":[188],"central":[193],"moments":[194],"calculated":[196],"database":[199],"well":[201],"established":[202],"for":[203,216],"feature":[204],"identification.":[208],"This":[209],"provides":[211],"reliable":[212],"data":[215],"intelligent":[218],"early":[219],"warning":[220]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}