{"id":"https://openalex.org/W2971355701","doi":"https://doi.org/10.1109/icip.2019.8803361","title":"An Adaptive Fitting Approach for the Visual Detection and Counting of Small Circular Objects in Manufacturing Applications","display_name":"An Adaptive Fitting Approach for the Visual Detection and Counting of Small Circular Objects in Manufacturing Applications","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2971355701","doi":"https://doi.org/10.1109/icip.2019.8803361","mag":"2971355701"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101875880","display_name":"Ying Gu","orcid":"https://orcid.org/0000-0001-6501-302X"},"institutions":[{"id":"https://openalex.org/I4210161496","display_name":"A*STAR Graduate Academy","ror":"https://ror.org/059yjzn93","country_code":"SG","type":"education","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210161496"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ying Gu","raw_affiliation_strings":["A*STAR, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A*STAR, Singapore, Singapore","institution_ids":["https://openalex.org/I4210161496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101524913","display_name":"Liyuan Li","orcid":"https://orcid.org/0000-0002-3758-1975"},"institutions":[{"id":"https://openalex.org/I4210161496","display_name":"A*STAR Graduate Academy","ror":"https://ror.org/059yjzn93","country_code":"SG","type":"education","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210161496"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Liyuan Li","raw_affiliation_strings":["A*STAR, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A*STAR, Singapore, Singapore","institution_ids":["https://openalex.org/I4210161496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030374805","display_name":"Fen Fang","orcid":"https://orcid.org/0000-0002-3834-4795"},"institutions":[{"id":"https://openalex.org/I4210161496","display_name":"A*STAR Graduate Academy","ror":"https://ror.org/059yjzn93","country_code":"SG","type":"education","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210161496"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Fen Fang","raw_affiliation_strings":["A*STAR, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A*STAR, Singapore, Singapore","institution_ids":["https://openalex.org/I4210161496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109462240","display_name":"Mark Rice","orcid":null},"institutions":[{"id":"https://openalex.org/I4210161496","display_name":"A*STAR Graduate Academy","ror":"https://ror.org/059yjzn93","country_code":"SG","type":"education","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210161496"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Mark Rice","raw_affiliation_strings":["A*STAR, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A*STAR, Singapore, Singapore","institution_ids":["https://openalex.org/I4210161496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080002872","display_name":"Jamie Ng","orcid":"https://orcid.org/0000-0003-2487-9251"},"institutions":[{"id":"https://openalex.org/I4210161496","display_name":"A*STAR Graduate Academy","ror":"https://ror.org/059yjzn93","country_code":"SG","type":"education","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210161496"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jamie Ng","raw_affiliation_strings":["A*STAR, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A*STAR, Singapore, Singapore","institution_ids":["https://openalex.org/I4210161496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101760811","display_name":"Wei Xiong","orcid":"https://orcid.org/0000-0002-1399-5559"},"institutions":[{"id":"https://openalex.org/I4210161496","display_name":"A*STAR Graduate Academy","ror":"https://ror.org/059yjzn93","country_code":"SG","type":"education","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210161496"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wei Xiong","raw_affiliation_strings":["A*STAR, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A*STAR, Singapore, Singapore","institution_ids":["https://openalex.org/I4210161496"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077258552","display_name":"Joo\u2010Hwee Lim","orcid":"https://orcid.org/0000-0002-4103-3824"},"institutions":[{"id":"https://openalex.org/I4210161496","display_name":"A*STAR Graduate Academy","ror":"https://ror.org/059yjzn93","country_code":"SG","type":"education","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210161496"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Joo-Hwee Lim","raw_affiliation_strings":["A*STAR, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A*STAR, Singapore, Singapore","institution_ids":["https://openalex.org/I4210161496"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210161496"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2946","last_page":"2950"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":1.0,"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":1.0,"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/T14339","display_name":"Image Processing and 3D Reconstruction","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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9879999756813049,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6841830015182495},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6200277209281921},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.5682742595672607},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.549132764339447},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.5332329869270325},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5122184157371521},{"id":"https://openalex.org/keywords/corner-detection","display_name":"Corner detection","score":0.5067813992500305},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49272850155830383},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4864496886730194},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.450400710105896},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.44568881392478943},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43468955159187317},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.43057146668434143},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4271467924118042},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4160274565219879},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.4021974503993988},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38543158769607544},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2878466248512268},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27233797311782837},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.1752321720123291},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08623048663139343}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6841830015182495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6200277209281921},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.5682742595672607},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.549132764339447},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.5332329869270325},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5122184157371521},{"id":"https://openalex.org/C39499422","wikidata":"https://www.wikidata.org/wiki/Q697320","display_name":"Corner detection","level":3,"score":0.5067813992500305},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49272850155830383},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4864496886730194},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.450400710105896},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.44568881392478943},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43468955159187317},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.43057146668434143},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4271467924118042},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4160274565219879},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.4021974503993988},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38543158769607544},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2878466248512268},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27233797311782837},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.1752321720123291},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08623048663139343},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2019.8803361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W141436226","https://openalex.org/W1541960437","https://openalex.org/W1588503227","https://openalex.org/W1956871166","https://openalex.org/W1986184928","https://openalex.org/W2009953720","https://openalex.org/W2015014174","https://openalex.org/W2024060390","https://openalex.org/W2039483209","https://openalex.org/W2075590015","https://openalex.org/W2085261163","https://openalex.org/W2120072289","https://openalex.org/W2130976472","https://openalex.org/W2161969291","https://openalex.org/W2164944168","https://openalex.org/W2511491267","https://openalex.org/W2526405930","https://openalex.org/W2752825721","https://openalex.org/W2756177297","https://openalex.org/W2768489488","https://openalex.org/W2787941518","https://openalex.org/W4243493583","https://openalex.org/W6605896395","https://openalex.org/W6727835340","https://openalex.org/W6749049207"],"related_works":["https://openalex.org/W2381723419","https://openalex.org/W1990532691","https://openalex.org/W2348077077","https://openalex.org/W2292270261","https://openalex.org/W2387524740","https://openalex.org/W2039305695","https://openalex.org/W1983240749","https://openalex.org/W2083019704","https://openalex.org/W2574295882","https://openalex.org/W2368143762"],"abstract_inverted_index":{"Detecting,":[0],"localizing":[1],"and":[2,30,55,67,95],"counting":[3],"small":[4,88,140],"circular":[5],"objects":[6],"in":[7,14,39,81,138,142],"machine":[8,143],"parts":[9],"is":[10,71,74],"an":[11,78],"important":[12],"task":[13],"many":[15],"applications":[16],"for":[17],"manufacturing.":[18],"Existing":[19],"methods":[20],"of":[21,34,93,127],"circle":[22,47,57,61,106],"detection":[23,48,54],"face":[24],"difficulties":[25],"due":[26],"to":[27,76,86,111,118,121,135],"the":[28,109],"high-curvature":[29],"limited":[31],"edge":[32],"points":[33],"circles.":[35],"As":[36],"a":[37,44,60,68,82,98,103,113,115],"result,":[38],"this":[40],"paper":[41],"we":[42],"propose":[43],"novel":[45],"two-stage":[46],"method,":[49],"which":[50],"integrates":[51],"bottom-up":[52],"coarse":[53,91],"top-down":[56,104],"fitting.":[58],"First,":[59],"detector":[62],"combining":[63],"low-level":[64],"feature":[65],"descriptors":[66],"linear":[69],"SVM":[70],"developed.":[72],"This":[73],"used":[75],"scan":[77],"input":[79],"image":[80,123],"sliding":[83],"window":[84],"mode":[85],"detect":[87],"circles":[89,120,141],"with":[90,108,130],"estimates":[92],"locations":[94],"scales.":[96],"Next,":[97],"hierarchical":[99],"Bayesian":[100],"model":[101],"performs":[102],"adaptive":[105],"fitting,":[107],"ability":[110],"achieve":[112],"maximum":[114],"posteriori":[116],"probability":[117],"fit":[119],"local":[122],"features.":[124],"The":[125],"evaluation":[126],"our":[128],"approach":[129],"manufacturing":[131],"images":[132],"has":[133],"demonstrated":[134],"be":[136],"efficient":[137],"detecting":[139],"parts.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
