{"id":"https://openalex.org/W4388657719","doi":"https://doi.org/10.1007/s44196-023-00365-9","title":"A New Image Segmentation Method Based on the YOLO5 and Fully Connected CRF","display_name":"A New Image Segmentation Method Based on the YOLO5 and Fully Connected CRF","publication_year":2023,"publication_date":"2023-11-14","ids":{"openalex":"https://openalex.org/W4388657719","doi":"https://doi.org/10.1007/s44196-023-00365-9"},"language":"en","primary_location":{"id":"doi:10.1007/s44196-023-00365-9","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s44196-023-00365-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-023-00365-9.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44196-023-00365-9.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084344775","display_name":"Jian Huang","orcid":"https://orcid.org/0000-0002-4300-7128"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]},{"id":"https://openalex.org/I4210162994","display_name":"Xijing University","ror":"https://ror.org/05xsjkb63","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162994"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Huang","raw_affiliation_strings":["School of Computer Science, XiJing University, Xi\u2019an, 710123, China","School of Mechanical and Precision Instrument Engineering, Xi\u2019an University of Technology, Xi\u2019an, 710048, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, XiJing University, Xi\u2019an, 710123, China","institution_ids":["https://openalex.org/I4210162994"]},{"raw_affiliation_string":"School of Mechanical and Precision Instrument Engineering, Xi\u2019an University of Technology, Xi\u2019an, 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115590598","display_name":"Guangpeng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangpeng Zhang","raw_affiliation_strings":["School of Mechanical and Precision Instrument Engineering, Xi\u2019an University of Technology, Xi\u2019an, 710048, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Precision Instrument Engineering, Xi\u2019an University of Technology, Xi\u2019an, 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101816533","display_name":"Li Ren","orcid":"https://orcid.org/0000-0001-5742-7177"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li juan Ren","raw_affiliation_strings":["School of Mechanical and Precision Instrument Engineering, Xi\u2019an University of Technology, Xi\u2019an, 710048, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Precision Instrument Engineering, Xi\u2019an University of Technology, Xi\u2019an, 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001767085","display_name":"Nina Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nina Wang","raw_affiliation_strings":["School of Mechanical and Precision Instrument Engineering, Xi\u2019an University of Technology, Xi\u2019an, 710048, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Precision Instrument Engineering, Xi\u2019an University of Technology, Xi\u2019an, 710048, China","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084344775"],"corresponding_institution_ids":["https://openalex.org/I4210131919","https://openalex.org/I4210162994"],"apc_list":{"value":1390,"currency":"GBP","value_usd":1704},"apc_paid":{"value":1390,"currency":"GBP","value_usd":1704},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25476784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9961000084877014,"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"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9961000084877014,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9919000267982483,"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"}},{"id":"https://openalex.org/T14319","display_name":"Currency Recognition and Detection","score":0.9860000014305115,"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/spark","display_name":"SPARK (programming language)","score":0.8377977609634399},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7758613228797913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7130935788154602},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7048286199569702},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5945008993148804},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5839419364929199},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.5419330596923828},{"id":"https://openalex.org/keywords/polishing","display_name":"Polishing","score":0.5017678737640381},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4955040216445923},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4027767777442932},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.13073238730430603}],"concepts":[{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.8377977609634399},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7758613228797913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7130935788154602},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7048286199569702},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5945008993148804},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5839419364929199},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.5419330596923828},{"id":"https://openalex.org/C138113353","wikidata":"https://www.wikidata.org/wiki/Q611639","display_name":"Polishing","level":2,"score":0.5017678737640381},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4955040216445923},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4027767777442932},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.13073238730430603},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44196-023-00365-9","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s44196-023-00365-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-023-00365-9.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ae72e86b4c1b4ccca98ecd0039415e9e","is_oa":true,"landing_page_url":"https://doaj.org/article/ae72e86b4c1b4ccca98ecd0039415e9e","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":"International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-10 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44196-023-00365-9","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1007/s44196-023-00365-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-023-00365-9.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.4300000071525574,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G7543588687","display_name":null,"funder_award_id":"52275511","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4388657719.pdf"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2528489519","https://openalex.org/W2530093645","https://openalex.org/W2570343428","https://openalex.org/W2594268324","https://openalex.org/W2891386601","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2964128313","https://openalex.org/W2990688248","https://openalex.org/W3153057536","https://openalex.org/W3157144426","https://openalex.org/W3159952717","https://openalex.org/W3176125085","https://openalex.org/W3210535920","https://openalex.org/W4207049043","https://openalex.org/W4210660345","https://openalex.org/W4320494145"],"related_works":["https://openalex.org/W2355958986","https://openalex.org/W2359200184","https://openalex.org/W2037225514","https://openalex.org/W2366623665","https://openalex.org/W2246607813","https://openalex.org/W2977384378","https://openalex.org/W3035613609","https://openalex.org/W2381926258","https://openalex.org/W2386760886","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Abstract":[0],"When":[1],"manually":[2],"polishing":[3,18],"blades,":[4],"skilled":[5],"workers":[6,22],"can":[7],"quickly":[8,84],"machine":[9],"a":[10,63],"blade":[11],"by":[12,46],"observing":[13],"the":[14,17,37,41,51,54,72],"characteristics":[15],"of":[16,117],"sparks.":[19],"To":[20],"help":[21],"better":[23,99,108],"recognize":[24],"spark":[25,38,42,74,89,118],"images,":[26],"we":[27],"used":[28],"an":[29],"industrial":[30],"charge-coupled":[31],"device":[32],"(CCD)":[33],"camera":[34],"to":[35],"capture":[36],"images.":[39],"Firstly,":[40],"image":[43,75,102,122],"region":[44,56],"detected":[45],"yolo5,":[47],"then":[48],"segment":[49,87,109],"from":[50,70],"background.":[52],"Secondly,":[53],"target":[55],"was":[57,98],"further":[58],"segmented":[59],"and":[60,85,114,124],"refined":[61],"in":[62],"fully":[64],"connected":[65],"conditional":[66],"random":[67],"field":[68],"(CRF),":[69],"which":[71],"complete":[73],"obtained.":[76],"Experimental":[77],"results":[78,93],"showed":[79,94],"that":[80,95],"this":[81,96],"method":[82,97,106],"could":[83,107],"accurately":[86],"whole":[88],"image.":[90],"The":[91],"test":[92],"than":[100],"other":[101],"segmentation":[103,115],"algorithms.":[104],"Our":[105],"irregular":[110],"image,":[111,119],"improve":[112],"recognition":[113],"efficiency":[116],"achieve":[120],"automatic":[121],"segmentation,":[123],"replace":[125],"human":[126],"observation.":[127]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}