{"id":"https://openalex.org/W2906485840","doi":"https://doi.org/10.1145/3277453.3277486","title":"Character Segmentation of Digital-Display Temperature and Humidity Instrument Based on Contour Features and Structural Rules","display_name":"Character Segmentation of Digital-Display Temperature and Humidity Instrument Based on Contour Features and Structural Rules","publication_year":2018,"publication_date":"2018-09-19","ids":{"openalex":"https://openalex.org/W2906485840","doi":"https://doi.org/10.1145/3277453.3277486","mag":"2906485840"},"language":"en","primary_location":{"id":"doi:10.1145/3277453.3277486","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3277453.3277486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Electronics and Electrical Engineering Technology","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/A5119268500","display_name":"Wen Wang","orcid":"https://orcid.org/0000-0003-1867-0937"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wen Wang","raw_affiliation_strings":["School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002049975","display_name":"Zenglai Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zenglai Gao","raw_affiliation_strings":["School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101754023","display_name":"Lei Geng","orcid":"https://orcid.org/0000-0002-5010-2596"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Geng","raw_affiliation_strings":["School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367225","display_name":"Fang Zhang","orcid":"https://orcid.org/0000-0002-0897-4243"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fang Zhang","raw_affiliation_strings":["Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tianjin, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008957721","display_name":"Zhitao Xiao","orcid":"https://orcid.org/0000-0003-2444-9198"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhitao Xiao","raw_affiliation_strings":["Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tianjin, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5119268500"],"corresponding_institution_ids":["https://openalex.org/I198091727"],"apc_list":null,"apc_paid":null,"fwci":0.1045,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47941703,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"223","last_page":"226"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9994999766349792,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9994999766349792,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9977999925613403,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7465242743492126},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7390819787979126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.738864541053772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7110781669616699},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.6176955103874207},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4600188136100769},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.45497608184814453},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4179404377937317},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.41538766026496887},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.41258886456489563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40800076723098755},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.20348161458969116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18410620093345642},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15334203839302063},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11073100566864014}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7465242743492126},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7390819787979126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.738864541053772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7110781669616699},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.6176955103874207},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4600188136100769},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.45497608184814453},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4179404377937317},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.41538766026496887},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.41258886456489563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40800076723098755},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.20348161458969116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18410620093345642},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15334203839302063},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11073100566864014},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3277453.3277486","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3277453.3277486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Electronics and Electrical Engineering Technology","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":5,"referenced_works":["https://openalex.org/W1971670550","https://openalex.org/W2029189646","https://openalex.org/W2033849769","https://openalex.org/W2357169432","https://openalex.org/W6643329193"],"related_works":["https://openalex.org/W3169126738","https://openalex.org/W1994279415","https://openalex.org/W2558559991","https://openalex.org/W1986338341","https://openalex.org/W2545065926","https://openalex.org/W2980082320","https://openalex.org/W2036421992","https://openalex.org/W2128085731","https://openalex.org/W4293054829","https://openalex.org/W2116510815"],"abstract_inverted_index":{"In":[0,90],"order":[1],"to":[2,43,53,83],"solve":[3],"the":[4,38,45,55,65,69,93,113,118],"problems":[5],"of":[6,9,102,124],"different":[7,70,100,122],"types":[8,101,123],"digital-display":[10,103],"temperature":[11,104],"and":[12,21,33,48,68,75,86,105],"humidity":[13,106],"instrument":[14],"segmentation":[15,79,95],"such":[16],"as":[17],"imprecision,":[18],"light":[19],"influence":[20],"low":[22],"generality,":[23],"this":[24,91],"paper":[25],"proposes":[26],"a":[27],"method":[28,42,114],"based":[29,63],"on":[30,64,121],"contour":[31,66],"features":[32,67],"structural":[34],"rules.":[35,89],"Firstly,":[36],"use":[37],"Canny":[39],"edge":[40],"detection":[41],"extract":[44],"display":[46],"screen,":[47],"utilize":[49],"straight-line":[50],"correction":[51],"algorithm":[52],"do":[54],"screen":[56],"correction.":[57],"Then,":[58],"characters":[59,74,120],"are":[60],"coarsely":[61],"segmented":[62],"gray":[71],"values":[72],"between":[73],"background.":[76],"Finally,":[77],"accurate":[78],"is":[80,96],"done":[81],"according":[82],"vertical":[84],"projection":[85],"character":[87,94],"structure":[88],"paper,":[92],"carried":[97],"out":[98],"with":[99],"instruments.":[107,125],"The":[108],"experimental":[109],"results":[110],"show":[111],"that":[112],"can":[115],"accurately":[116],"segment":[117],"effective":[119]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
