{"id":"https://openalex.org/W1523195823","doi":"https://doi.org/10.1109/icip.2003.1247310","title":"Analysis and classification of internal pipeline images","display_name":"Analysis and classification of internal pipeline images","publication_year":2004,"publication_date":"2004-06-03","ids":{"openalex":"https://openalex.org/W1523195823","doi":"https://doi.org/10.1109/icip.2003.1247310","mag":"1523195823"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2003.1247310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2003.1247310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)","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/A5076205854","display_name":"Deirdre O'Brien","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"D. O'Brien","raw_affiliation_strings":["Dept. of Electrical Engineering, Stanford University, Stanford, CA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Stanford University, Stanford, CA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006404251","display_name":"Manisha Gupta","orcid":"https://orcid.org/0009-0005-9952-9987"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Gupta","raw_affiliation_strings":["Dept. of Electrical Engineering, Stanford University, Stanford, CA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Stanford University, Stanford, CA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061042317","display_name":"Robert M. Gray","orcid":"https://orcid.org/0000-0002-6947-3637"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R.M. Gray","raw_affiliation_strings":["Dept. of Electrical Engineering, Stanford University, Stanford, CA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Stanford University, Stanford, CA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046834539","display_name":"J.K. Hagene","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088371","display_name":"Norsk Elektro Optikk (Norway)","ror":"https://ror.org/005w2t155","country_code":"NO","type":"company","lineage":["https://openalex.org/I4210088371"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"J.K. Hagene","raw_affiliation_strings":["Norsk Elektro Optikk A/S, L\u00f8renskog, Norway"],"affiliations":[{"raw_affiliation_string":"Norsk Elektro Optikk A/S, L\u00f8renskog, Norway","institution_ids":["https://openalex.org/I4210088371"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076205854"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":4.2013,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.92601366,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"III","last_page":"577"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12086","display_name":"Structural Integrity and Reliability Analysis","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12086","display_name":"Structural Integrity and Reliability Analysis","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11220","display_name":"Water Systems and Optimization","score":0.9889000058174133,"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/magnetic-flux-leakage","display_name":"Magnetic flux leakage","score":0.7351450324058533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.62640380859375},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5811942219734192},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5486595630645752},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4692533016204834},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.46658045053482056},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4590226113796234},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4313032329082489},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36757218837738037},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3247385621070862},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.291420042514801},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.1677984893321991}],"concepts":[{"id":"https://openalex.org/C20892748","wikidata":"https://www.wikidata.org/wiki/Q4390394","display_name":"Magnetic flux leakage","level":3,"score":0.7351450324058533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.62640380859375},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5811942219734192},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5486595630645752},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4692533016204834},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.46658045053482056},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4590226113796234},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4313032329082489},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36757218837738037},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3247385621070862},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.291420042514801},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.1677984893321991},{"id":"https://openalex.org/C16389437","wikidata":"https://www.wikidata.org/wiki/Q11421","display_name":"Magnet","level":2,"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":1,"locations":[{"id":"doi:10.1109/icip.2003.1247310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2003.1247310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)","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":10,"referenced_works":["https://openalex.org/W194285697","https://openalex.org/W202178892","https://openalex.org/W203466225","https://openalex.org/W1480376833","https://openalex.org/W1594031697","https://openalex.org/W2044465660","https://openalex.org/W2096942889","https://openalex.org/W4285719527","https://openalex.org/W6607828992","https://openalex.org/W6608181732"],"related_works":["https://openalex.org/W4383333701","https://openalex.org/W2142368441","https://openalex.org/W2053047536","https://openalex.org/W2354373366","https://openalex.org/W746620061","https://openalex.org/W1517924989","https://openalex.org/W226057534","https://openalex.org/W4312973429","https://openalex.org/W2017449983","https://openalex.org/W2340724640"],"abstract_inverted_index":{"Recently":[0],"developed":[1],"optical":[2],"inspection":[3,26],"tools":[4],"provide":[5],"images":[6],"from":[7,97],"the":[8,28,98,105,111,116,121],"inside":[9],"of":[10,21,27,92,119,134],"natural":[11],"gas":[12],"pipelines":[13],"to":[14,39,85,103,109,142],"monitor":[15],"pipeline":[16,99,148],"integrity.":[17],"The":[18],"vast":[19],"amount":[20,133],"data":[22],"generated":[23],"prohibits":[24],"human":[25],"resulting":[29],"images.":[30],"We":[31],"designed":[32,102],"an":[33],"image":[34,45,100],"processing":[35],"and":[36,80,128],"classification":[37],"method":[38],"identify":[40,110],"ab-":[41],"normal":[42],"events.":[43],"Non-overlapping":[44],"blocks":[46],"are":[47,101],"classified":[48,136],"into":[49],"twelve":[50],"categories:":[51],"normal,":[52],"black":[53,65],"line,":[54],"grinder":[55],"marks,":[56,61],"magnetic":[57],"flux":[58],"leakage":[59],"inspector":[60],"single":[62],"dots,":[63,67,71],"small":[64],"corrosion":[66,70],"osmosis":[68],"blisters,":[69],"longitudinal":[72,81],"weld,":[73],"field":[74,86],"joint,":[75],"cavity":[76],"at":[77],"a":[78,131,144],"weld":[79,82],"too":[83],"close":[84],"joints.":[87],"Results":[88],"compare":[89],"different":[90,112,126],"types":[91],"statistical":[93],"classifiers.":[94],"Features":[95],"extracted":[96],"mimic":[104],"features":[106],"humans":[107],"use":[108],"classes.":[113],"Difficulties":[114],"include":[115],"large":[117],"number":[118],"classes,":[120],"uneven":[122],"costs":[123],"associated":[124],"with":[125],"errors,":[127],"training":[129],"on":[130],"limited":[132],"expert":[135],"data.":[137],"Classification":[138],"results":[139],"show":[140],"this":[141],"be":[143],"useful":[145],"tool":[146],"for":[147],"monitoring.":[149]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
