{"id":"https://openalex.org/W4391793605","doi":"https://doi.org/10.1145/3632971.3632987","title":"A Novel Method for Detecting the Width of Tobacco Filaments Based on Coordinate Point Fitting","display_name":"A Novel Method for Detecting the Width of Tobacco Filaments Based on Coordinate Point Fitting","publication_year":2023,"publication_date":"2023-07-07","ids":{"openalex":"https://openalex.org/W4391793605","doi":"https://doi.org/10.1145/3632971.3632987"},"language":"en","primary_location":{"id":"doi:10.1145/3632971.3632987","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3632971.3632987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Joint Conference on Robotics and Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","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/A5111129199","display_name":"Jinxin Tie","orcid":"https://orcid.org/0000-0003-2006-9294"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinxin Tie","raw_affiliation_strings":["Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., China"],"affiliations":[{"raw_affiliation_string":"Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103044500","display_name":"Yue-Feng Wang","orcid":"https://orcid.org/0009-0008-2746-9139"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuefeng Wang","raw_affiliation_strings":["School of Computer and Communication Engineering, Zhengzhou University of Light Industry, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, Zhengzhou University of Light Industry, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017852923","display_name":"Weizheng Zhang","orcid":"https://orcid.org/0000-0002-6838-0850"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weizheng Zhang","raw_affiliation_strings":["School of Computer and Communication Engineering, Zhengzhou University of Light Industry, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, Zhengzhou University of Light Industry, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100457451","display_name":"Meng Li","orcid":"https://orcid.org/0000-0002-2625-9024"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]},{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Li","raw_affiliation_strings":["College of tobacco science and engineering, Zhengzhou University of Light Industry, China","Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., China"],"affiliations":[{"raw_affiliation_string":"College of tobacco science and engineering, Zhengzhou University of Light Industry, China","institution_ids":["https://openalex.org/I23171815"]},{"raw_affiliation_string":"Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111129200","display_name":"Daojian Yang","orcid":"https://orcid.org/0000-0001-7593-1350"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daojian Yang","raw_affiliation_strings":["Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., China"],"affiliations":[{"raw_affiliation_string":"Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054872343","display_name":"Jinhua Song","orcid":null},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhua Song","raw_affiliation_strings":["Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., China"],"affiliations":[{"raw_affiliation_string":"Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102714061","display_name":"LI Mao-song","orcid":"https://orcid.org/0009-0005-9619-2944"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]},{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maosong Li","raw_affiliation_strings":["College of tobacco science and engineering, Zhengzhou University of Light Industry, China","Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., China"],"affiliations":[{"raw_affiliation_string":"College of tobacco science and engineering, Zhengzhou University of Light Industry, China","institution_ids":["https://openalex.org/I23171815"]},{"raw_affiliation_string":"Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072204303","display_name":"J. G. Wang","orcid":"https://orcid.org/0009-0001-1753-6982"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhui Wang","raw_affiliation_strings":["Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., China"],"affiliations":[{"raw_affiliation_string":"Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085115548","display_name":"Mingfang Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingfang Zheng","raw_affiliation_strings":["Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., China"],"affiliations":[{"raw_affiliation_string":"Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083901302","display_name":"Chunbo Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunbo Yuan","raw_affiliation_strings":["Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., China"],"affiliations":[{"raw_affiliation_string":"Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103188120","display_name":"Yue Long","orcid":null},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Long","raw_affiliation_strings":["Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., China"],"affiliations":[{"raw_affiliation_string":"Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101894356","display_name":"Yujie Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Wu","raw_affiliation_strings":["Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., China"],"affiliations":[{"raw_affiliation_string":"Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024522253","display_name":"Jie Li","orcid":null},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., China"],"affiliations":[{"raw_affiliation_string":"Ningbo Cigarette Factory, China Tobacco Zhejiang Industrial Co., Ltd., China","institution_ids":["https://openalex.org/I2800556661"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":13,"corresponding_author_ids":["https://openalex.org/A5111129199"],"corresponding_institution_ids":["https://openalex.org/I2800556661"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20162498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"34","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":0.9979000091552734,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9969000220298767,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9912999868392944,"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/point","display_name":"Point (geometry)","score":0.5904040336608887},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5069680213928223},{"id":"https://openalex.org/keywords/coordinate-system","display_name":"Coordinate system","score":0.42739230394363403},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3233070969581604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23938202857971191},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.21261385083198547},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1891324818134308}],"concepts":[{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5904040336608887},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5069680213928223},{"id":"https://openalex.org/C80551277","wikidata":"https://www.wikidata.org/wiki/Q11210","display_name":"Coordinate system","level":2,"score":0.42739230394363403},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3233070969581604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23938202857971191},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.21261385083198547},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1891324818134308}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3632971.3632987","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3632971.3632987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Joint Conference on Robotics and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2075516008","https://openalex.org/W2328232049","https://openalex.org/W2387628078","https://openalex.org/W2923885600","https://openalex.org/W2970974301","https://openalex.org/W3122887871"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829"],"abstract_inverted_index":{"Abstract.":[0],"The":[1,33,167],"width":[2],"of":[3,30,81,107,112,121,143],"the":[4,24,31,57,69,79,84,91,130,140,147,155,184,197],"tobacco":[5],"filament":[6],"(WTF)":[7],"is":[8,75,134,194],"a":[9,19,62,104,116],"significant":[10],"process":[11],"parameter":[12],"in":[13,123,190,203],"cigarette":[14,204],"production":[15,205,212],"as":[16],"it":[17],"has":[18,103],"crucial":[20],"impact":[21],"on":[22,99,154],"both":[23,208],"physical":[25],"quality":[26,210],"and":[27,53,60,90,115,136,138,162,171,175,211],"sensory":[28],"experience":[29],"product.":[32],"detection":[34,58,150,160,174],"methods":[35],"currently":[36],"employed":[37],"for":[38,64],"WTF":[39,66,148,173],"mainly":[40],"involve":[41],"manual":[42],"visual":[43],"inspection":[44],"or":[45],"low-frequency":[46],"offline":[47],"inspection,":[48],"which":[49,152],"lack":[50],"representation,":[51],"accuracy,":[52,61],"efficiency.":[54,213],"To":[55],"enhance":[56],"efficiency":[59,161],"method":[63,73,88,96,186,198],"detecting":[65,191],"images":[67],"utilizing":[68],"coordinate":[70,156],"point":[71,157],"fitting":[72,158],"(CPFM)":[74],"proposed.":[76],"We":[77],"compare":[78],"performance":[80],"CPFM":[82,102,132,185],"with":[83,93],"conventional":[85],"Hough":[86],"transform":[87],"(HTM)":[89],"circle":[92],"different":[94],"radii":[95],"(CDRM).":[97],"Based":[98],"experimental":[100],"results,":[101],"relative":[105,118],"error":[106,111],"5.3%,":[108],"an":[109],"absolute":[110],"0.085":[113],"mm,":[114],"maximum":[117],"standard":[119],"deviation":[120],"1%":[122],"six":[124],"repetitive":[125],"experiments.":[126],"This":[127],"suggests":[128],"that":[129,196],"suggested":[131],"technique":[133,168],"dependable":[135,137],"fulfills":[139],"statistical":[141],"demands":[142],"metrology.":[144],"By":[145],"implementing":[146],"image":[149],"method,":[151],"relies":[153],"methodology,":[159],"accuracy":[163],"are":[164],"substantially":[165],"increased.":[166],"necessitates":[169],"rapid":[170],"exact":[172],"surpasses":[176],"prior":[177],"approaches":[178],"significantly.":[179],"Compared":[180],"to":[181,206],"traditional":[182],"methods,":[183],"exhibits":[187],"distinct":[188],"benefits":[189],"WTF.":[192],"It":[193],"probable":[195],"will":[199],"become":[200],"widely":[201],"used":[202],"improve":[207],"product":[209]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
