{"id":"https://openalex.org/W3128840328","doi":"https://doi.org/10.1145/3443467.3443794","title":"Study on Image Preprocessing Technology of Concrete Pavement Cracks","display_name":"Study on Image Preprocessing Technology of Concrete Pavement Cracks","publication_year":2020,"publication_date":"2020-11-06","ids":{"openalex":"https://openalex.org/W3128840328","doi":"https://doi.org/10.1145/3443467.3443794","mag":"3128840328"},"language":"en","primary_location":{"id":"doi:10.1145/3443467.3443794","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3443467.3443794","pdf_url":null,"source":{"id":"https://openalex.org/S4306523680","display_name":"Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering","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/A5100604035","display_name":"Yiling Liu","orcid":"https://orcid.org/0000-0002-4081-6229"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiling Liu","raw_affiliation_strings":["College of Computer Engineering, Jimei University, Xiamen Fujian China"],"affiliations":[{"raw_affiliation_string":"College of Computer Engineering, Jimei University, Xiamen Fujian China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100775767","display_name":"Gang Wang","orcid":"https://orcid.org/0000-0003-0114-0649"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Wang","raw_affiliation_strings":["College of Computer Engineering, Jimei University, Xiamen Fujian China"],"affiliations":[{"raw_affiliation_string":"College of Computer Engineering, Jimei University, Xiamen Fujian China","institution_ids":["https://openalex.org/I161346416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100604035"],"corresponding_institution_ids":["https://openalex.org/I161346416"],"apc_list":null,"apc_paid":null,"fwci":0.4653,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61763054,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"426","last_page":"431"},"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":0.9329000115394592,"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":0.9329000115394592,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.901199996471405,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/preprocessor","display_name":"Preprocessor","score":0.7316604256629944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6255615949630737},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5018219947814941},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.49262839555740356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4914010763168335},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.488240510225296},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45008745789527893},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43971893191337585},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43169087171554565}],"concepts":[{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7316604256629944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6255615949630737},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5018219947814941},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.49262839555740356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4914010763168335},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.488240510225296},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45008745789527893},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43971893191337585},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43169087171554565},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3443467.3443794","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3443467.3443794","pdf_url":null,"source":{"id":"https://openalex.org/S4306523680","display_name":"Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2246690291","https://openalex.org/W2617363907","https://openalex.org/W4251740737"],"related_works":["https://openalex.org/W115686965","https://openalex.org/W2768918307","https://openalex.org/W2110031805","https://openalex.org/W2040020606","https://openalex.org/W4362659915","https://openalex.org/W2050926897","https://openalex.org/W2113071088","https://openalex.org/W2321543601","https://openalex.org/W2972861887","https://openalex.org/W2353456014"],"abstract_inverted_index":{"The":[0,90],"purpose":[1],"of":[2,13,21,33,38,48,87,113],"highway":[3],"pavement":[4,22],"crack":[5,128],"detection":[6,53],"is":[7,67,96],"to":[8,45,69,74,82,116],"carry":[9],"out":[10],"high-speed":[11],"sampling":[12],"road":[14],"conditions":[15],"and":[16,31,98,120,126],"automatically":[17],"extract":[18,75],"the":[19,29,36,46,52,71,84,88,104,110,114,123],"information":[20],"cracks.":[23],"There":[24],"are":[25],"high":[26],"requirements":[27],"in":[28],"speed":[30],"accuracy":[32],"detection.":[34,129],"In":[35,55],"process":[37],"collection,":[39],"noise":[40],"may":[41],"be":[42,80],"generated":[43],"due":[44],"limitation":[47],"equipment,":[49],"thus":[50],"affecting":[51],"effect.":[54],"this":[56,94],"paper,":[57],"an":[58],"improved":[59],"gray":[60,85,111],"correction":[61],"algorithm":[62],"based":[63],"on":[64],"multiplicative":[65],"model":[66],"used":[68],"analysis":[70],"original":[72],"image":[73,115,124],"a":[76],"factor":[77],"that":[78,93],"can":[79],"applied":[81],"correct":[83],"level":[86,112],"image.":[89],"experiment":[91],"shows":[92],"method":[95],"simple":[97],"fast.":[99],"It":[100],"not":[101],"only":[102],"retains":[103],"target":[105],"features,":[106],"but":[107],"also":[108],"adjusts":[109],"make":[117],"it":[118],"uniform,":[119],"eventually":[121],"improves":[122],"quality":[125],"facilitates":[127]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
