{"id":"https://openalex.org/W4293249751","doi":"https://doi.org/10.4028/p-w863h3","title":"Welding Defects Detection in Radiographic Images Using an Improved Denoising Technique Combined with an Enhanced Chan-Vese Model","display_name":"Welding Defects Detection in Radiographic Images Using an Improved Denoising Technique Combined with an Enhanced Chan-Vese Model","publication_year":2022,"publication_date":"2022-05-20","ids":{"openalex":"https://openalex.org/W4293249751","doi":"https://doi.org/10.4028/p-w863h3"},"language":"en","primary_location":{"id":"doi:10.4028/p-w863h3","doi":"https://doi.org/10.4028/p-w863h3","is_oa":false,"landing_page_url":"https://doi.org/10.4028/p-w863h3","pdf_url":null,"source":{"id":"https://openalex.org/S24851547","display_name":"International journal of engineering research in Africa","issn_l":"1663-3571","issn":["1663-3571","1663-4144","1663-4152"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-40","russia-white-list-3","vabb-shw"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Engineering Research in Africa","raw_type":"journal-article"},"volume":null,"type":"article","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/A5074474958","display_name":"Rabah Abdelkader","orcid":"https://orcid.org/0000-0002-3738-3485","observed_orcids":["https://orcid.org/0000-0002-3738-3485"]},"institutions":[{"id":"https://openalex.org/I4210086178","display_name":"Research Center in Industrial Technologies","ror":"https://ror.org/00qhvgf79","country_code":"DZ","type":"facility","lineage":["https://openalex.org/I4210086178"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Rabah Abdelkader","raw_affiliation_strings":["Industrial Technologies CRTI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial Technologies CRTI","institution_ids":["https://openalex.org/I4210086178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058314538","display_name":"Naim Ramou","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210086178","display_name":"Research Center in Industrial Technologies","ror":"https://ror.org/00qhvgf79","country_code":"DZ","type":"facility","lineage":["https://openalex.org/I4210086178"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Naim Ramou","raw_affiliation_strings":["Industrial Technologies CRTI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial Technologies CRTI","institution_ids":["https://openalex.org/I4210086178"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004211838","display_name":"Mohammed Khorchef","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210086178","display_name":"Research Center in Industrial Technologies","ror":"https://ror.org/00qhvgf79","country_code":"DZ","type":"facility","lineage":["https://openalex.org/I4210086178"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Mohammed Khorchef","raw_affiliation_strings":["Industrial Technologies CRTI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial Technologies CRTI","institution_ids":["https://openalex.org/I4210086178"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5074474958"],"corresponding_institution_ids":["https://openalex.org/I4210086178"],"apc_list":null,"apc_paid":null,"fwci":0.2842,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.4472895,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"60","issue":null,"first_page":"155","last_page":"172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.49239999055862427,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.49239999055862427,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.2572999894618988,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.12409999966621399,"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/weld-defect-detection","display_name":"weld defect detection","score":0.9670000076293945},{"id":"https://openalex.org/keywords/radiographic-images","display_name":"radiographic images","score":0.9829999804496765},{"id":"https://openalex.org/keywords/image-denoising","display_name":"image denoising","score":0.9750000238418579},{"id":"https://openalex.org/keywords/wavelet-soft-thresholding","display_name":"wavelet soft thresholding","score":0.8790000081062317},{"id":"https://openalex.org/keywords/chan-vese-segmentation","display_name":"Chan-Vese segmentation","score":0.8399999737739563},{"id":"https://openalex.org/keywords/fuzzy-c-means-clustering","display_name":"fuzzy c-means clustering","score":0.8619999885559082},{"id":"https://openalex.org/keywords/initial-contour-selection","display_name":"initial contour selection","score":0.6830000281333923},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"image segmentation","score":0.6240000128746033},{"id":"https://openalex.org/keywords/non-destructive-testing","display_name":"non-destructive testing","score":0.9430000185966492}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7141707539558411},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.7003321051597595},{"id":"https://openalex.org/C19474535","wikidata":"https://www.wikidata.org/wiki/Q131172","display_name":"Welding","level":2,"score":0.6114979386329651},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.606971263885498},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5850279927253723},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5675384998321533},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5275087952613831},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5034248232841492},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4821333587169647},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.46832922101020813},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4604073464870453},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.44156742095947266},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21683764457702637},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.16189756989479065},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4028/p-w863h3","doi":"https://doi.org/10.4028/p-w863h3","is_oa":false,"landing_page_url":"https://doi.org/10.4028/p-w863h3","pdf_url":null,"source":{"id":"https://openalex.org/S24851547","display_name":"International journal of engineering research in Africa","issn_l":"1663-3571","issn":["1663-3571","1663-4144","1663-4152"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-40","russia-white-list-3","vabb-shw"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Engineering Research in Africa","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W255433357","https://openalex.org/W1968405583","https://openalex.org/W1989180599","https://openalex.org/W1990368529","https://openalex.org/W2041582098","https://openalex.org/W2074866945","https://openalex.org/W2091695913","https://openalex.org/W2114487471","https://openalex.org/W2116040950","https://openalex.org/W2122135003","https://openalex.org/W2125527601","https://openalex.org/W2155995258","https://openalex.org/W2320771396","https://openalex.org/W2540109757","https://openalex.org/W2765198303","https://openalex.org/W2771981843","https://openalex.org/W2909369068","https://openalex.org/W2945324027","https://openalex.org/W2946154440","https://openalex.org/W2953902426","https://openalex.org/W2968982355","https://openalex.org/W2999388238","https://openalex.org/W3044848749","https://openalex.org/W3046380363"],"related_works":["https://openalex.org/W3132708544","https://openalex.org/W60102382","https://openalex.org/W2041582098","https://openalex.org/W2027104277","https://openalex.org/W2025407233","https://openalex.org/W2095338679","https://openalex.org/W2166126045","https://openalex.org/W2323895233","https://openalex.org/W4200549610","https://openalex.org/W2145997357"],"abstract_inverted_index":{"The":[0,33,153,176],"detection":[1,26,49],"of":[2,16,27,39,50,68,75,83,95,100,139,172,183],"welding":[3,51,162,174],"defects":[4,52],"is":[5,31,71,107,123,134,156],"becoming":[6],"an":[7,92,104,119],"important":[8],"operation":[9,89],"in":[10,24],"the":[11,14,20,25,48,66,81,111,127,137,144,150,159,165,170,173,181,184],"industry":[12],"and":[13,44,103],"field":[15],"non-destructive":[17],"testing.":[18],"Among":[19],"most":[21],"used":[22],"techniques":[23,70],"weld":[28],"defects,":[29],"it":[30],"radiography.":[32],"radiographic":[34,161],"images":[35,163],"acquired":[36],"are":[37],"generally":[38],"low":[40],"contrast,":[41],"poor":[42],"quality,":[43],"uneven":[45],"lighting.":[46],"Therefore,":[47],"becomes":[53],"a":[54,60,87,140],"difficult":[55],"task.":[56],"In":[57],"this":[58],"work,":[59],"new":[61],"hybrid":[62],"approach":[63,155,186],"based":[64,90,135],"on":[65,91,136],"combination":[67],"several":[69],"proposed.":[72],"It":[73],"consists":[74],"three":[76],"stages:":[77],"firstly,":[78],"we":[79],"define":[80],"region":[82],"interest":[84],"(ROI).":[85],"Secondly,":[86],"preprocessing":[88],"improved":[93],"version":[94],"denoising":[96],"by":[97,143],"soft":[98],"thresholding":[99],"wavelet":[101],"coefficients":[102],"optimized":[105],"threshold":[106],"applied":[108,157],"to":[109,125,158,168,188],"improve":[110],"image":[112],"quality":[113],"(noise":[114],"reduction,":[115],"contrast":[116],"enhancement).":[117],"Thirdly,":[118],"enhanced":[120,132],"Chan-Vese":[121],"model":[122,133],"proposed":[124,154,185],"segment":[126],"denoised":[128],"ROI":[129],"region.":[130],"This":[131],"choice":[138],"cluster":[141],"obtained":[142,178],"Fuzzy":[145],"C-Mean":[146],"algorithm":[147],"(FCM)":[148],"as":[149],"initial":[151],"contour.":[152],"various":[160],"from":[164],"GDxray":[166],"database":[167],"extract":[169],"characteristics":[171],"defects.":[175],"results":[177],"clearly":[179],"show":[180],"effectiveness":[182],"compared":[187],"conventional":[189],"techniques.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2022-08-27T00:00:00"}