{"id":"https://openalex.org/W2106788985","doi":"https://doi.org/10.1109/soli.2011.5986603","title":"Deblurring Gaussian-blur images: A preprocessing for rail head surface defect detection","display_name":"Deblurring Gaussian-blur images: A preprocessing for rail head surface defect detection","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2106788985","doi":"https://doi.org/10.1109/soli.2011.5986603","mag":"2106788985"},"language":"en","primary_location":{"id":"doi:10.1109/soli.2011.5986603","doi":"https://doi.org/10.1109/soli.2011.5986603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/soli.2011.5986603","pdf_url":null,"source":{"id":"https://openalex.org/S4363608011","display_name":"IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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 2011 IEEE International Conference on Service Operations, Logistics and Informatics","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5087399175","display_name":"Liang Wang","orcid":"https://orcid.org/0000-0002-6177-0442","observed_orcids":["https://orcid.org/0000-0002-6177-0442"]},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Wang","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","School of Computer & Information Technology, Beijing Jiaotong University, China, 100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Computer & Information Technology, Beijing Jiaotong University, China, 100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yaping Hang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaping Hang","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","School of Computer & Information Technology, Beijing Jiaotong University, China, 100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Computer & Information Technology, Beijing Jiaotong University, China, 100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103202119","display_name":"Siwei Luo","orcid":"https://orcid.org/0009-0007-8120-7343","observed_orcids":["https://orcid.org/0009-0007-8120-7343"]},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwei Luo","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","School of Computer & Information Technology, Beijing Jiaotong University, China, 100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Computer & Information Technology, Beijing Jiaotong University, China, 100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062817507","display_name":"Xiaoyue Luo","orcid":"https://orcid.org/0000-0003-4063-2101","observed_orcids":["https://orcid.org/0000-0003-4063-2101"]},"institutions":[{"id":"https://openalex.org/I74054363","display_name":"Linfield College","ror":"https://ror.org/0228k1a18","country_code":"US","type":"education","lineage":["https://openalex.org/I74054363"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoyue Luo","raw_affiliation_strings":["Department of Mathematics, Linfield College, OR, USA","Department of Mathematics, Linfield College, OR, USA, 97128"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Linfield College, OR, USA","institution_ids":["https://openalex.org/I74054363"]},{"raw_affiliation_string":"Department of Mathematics, Linfield College, OR, USA, 97128","institution_ids":["https://openalex.org/I74054363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007800653","display_name":"Xinlan Jiang","orcid":"https://orcid.org/0000-0002-7184-4556","observed_orcids":["https://orcid.org/0000-0002-7184-4556"]},"institutions":[{"id":"https://openalex.org/I2802748390","display_name":"China Youth University for Political Sciences","ror":"https://ror.org/01e0p8e37","country_code":"CN","type":"education","lineage":["https://openalex.org/I2802748390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinlan Jiang","raw_affiliation_strings":["Computer Science & Application Center, China Youth University for Political Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science & Application Center, China Youth University for Political Sciences, Beijing, China","institution_ids":["https://openalex.org/I2802748390"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4747,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62319503,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"4","issue":null,"first_page":"451","last_page":"456"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.7480000257492065,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.7480000257492065,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.156700000166893,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.055799998342990875,"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/image-deblurring","display_name":"image deblurring","score":0.9909999966621399},{"id":"https://openalex.org/keywords/gaussian-blur","display_name":"Gaussian smoothing","score":0.9229999780654907},{"id":"https://openalex.org/keywords/filter-learning","display_name":"filter learning","score":0.6460000276565552},{"id":"https://openalex.org/keywords/regularization","display_name":"regularization","score":0.6899999976158142},{"id":"https://openalex.org/keywords/inverse-problems","display_name":"inverse problems","score":0.847000002861023},{"id":"https://openalex.org/keywords/tikhonov-regularization","display_name":"Tikhonov regularization","score":0.824999988079071},{"id":"https://openalex.org/keywords/total-variation","display_name":"total variation","score":0.8119999766349792},{"id":"https://openalex.org/keywords/image-based-inspection","display_name":"image-based inspection","score":0.6230000257492065},{"id":"https://openalex.org/keywords/image-preprocessing","display_name":"image preprocessing","score":0.8149999976158142}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.985895037651062},{"id":"https://openalex.org/C152442038","wikidata":"https://www.wikidata.org/wiki/Q2778212","display_name":"Tikhonov regularization","level":3,"score":0.8076564073562622},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7102842330932617},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6800277829170227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6070315837860107},{"id":"https://openalex.org/C104317376","wikidata":"https://www.wikidata.org/wiki/Q1894545","display_name":"Gaussian blur","level":5,"score":0.6031402349472046},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5732260942459106},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.48638632893562317},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4725881516933441},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.46154385805130005},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38284921646118164},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3647320568561554},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3488134443759918},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.3276910185813904},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28001439571380615},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07534065842628479},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/soli.2011.5986603","doi":"https://doi.org/10.1109/soli.2011.5986603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/soli.2011.5986603","pdf_url":null,"source":{"id":"https://openalex.org/S4363608011","display_name":"IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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 2011 IEEE International Conference on Service Operations, Logistics and Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4943999946117401,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W40037269","https://openalex.org/W1496099826","https://openalex.org/W1510355813","https://openalex.org/W1512638263","https://openalex.org/W1514248469","https://openalex.org/W1989893875","https://openalex.org/W2004156071","https://openalex.org/W2050774995","https://openalex.org/W2067264659","https://openalex.org/W2097713019","https://openalex.org/W2102219944","https://openalex.org/W2103559027","https://openalex.org/W2106125561","https://openalex.org/W2109863423","https://openalex.org/W2114946890","https://openalex.org/W2131686571","https://openalex.org/W2133155955","https://openalex.org/W2135238609","https://openalex.org/W2138448681","https://openalex.org/W2141115311","https://openalex.org/W2150920547","https://openalex.org/W2170563839"],"related_works":["https://openalex.org/W2460484423","https://openalex.org/W2242952562","https://openalex.org/W2382420727","https://openalex.org/W2126252886","https://openalex.org/W6903798843","https://openalex.org/W7096333675","https://openalex.org/W2939204305","https://openalex.org/W3024883743","https://openalex.org/W7084120442","https://openalex.org/W2349275452"],"abstract_inverted_index":{"Vision":[0],"based":[1,93],"inspection":[2],"system,":[3],"as":[4,54],"an":[5,39,132],"effective":[6,40,133],"rail":[7,18,137],"head":[8,138],"surface":[9,139],"defect":[10,140],"detection":[11],"method,":[12],"is":[13,52,87,107,131],"widely":[14],"used.":[15],"However,":[16],"the":[17,22,31,66,71,75,88],"images":[19],"taken":[20],"by":[21,74],"imaging":[23],"system":[24],"might":[25],"be":[26],"blurred,":[27],"and":[28,70,79,109],"it":[29],"restricts":[30],"recognition":[32],"accuracy.":[33],"In":[34],"this":[35],"paper,":[36],"we":[37],"proposed":[38],"deblurring":[41,68,95,118],"method:":[42],"learned":[43],"partial":[44],"differential":[45],"equation":[46],"(L-PDE)":[47],"for":[48,57,136],"Gaussian-blur":[49],"images,":[50],"which":[51,86],"used":[53],"a":[55,82],"preprocessing":[56,134],"Rail":[58],"Head":[59],"Surface":[60],"Defect":[61],"Detection.":[62],"We":[63],"first":[64],"analyze":[65],"image":[67,94,117],"problem":[69,77],"regularization":[72],"methods":[73],"inverse":[76],"theories,":[78],"then":[80],"propose":[81],"generalized":[83],"model:":[84],"L-PDE,":[85],"extension":[89],"of":[90],"traditional":[91,116],"PDE":[92],"methods,":[96,119],"e.g.":[97],"Tikhonov":[98],"model,":[99],"total":[100],"variation":[101],"(TV)":[102],"model.":[103],"A":[104],"filter-learning":[105],"model":[106,121],"built":[108],"25":[110],"filters":[111],"are":[112],"learned.":[113],"Compared":[114],"to":[115],"L-PDE":[120,130],"achieve":[122],"much":[123],"better":[124],"results.":[125],"The":[126],"experiments":[127],"show":[128],"that":[129],"method":[135],"detection.":[141]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2016-06-24T00:00:00"}
