{"id":"https://openalex.org/W2155049189","doi":"https://doi.org/10.1109/euvip.2011.6045545","title":"Automatic image registration for arm radiographies","display_name":"Automatic image registration for arm radiographies","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2155049189","doi":"https://doi.org/10.1109/euvip.2011.6045545","mag":"2155049189"},"language":"en","primary_location":{"id":"doi:10.1109/euvip.2011.6045545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip.2011.6045545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3rd European Workshop on Visual Information Processing","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/A5077178463","display_name":"Artur Leandro","orcid":null},"institutions":[{"id":"https://openalex.org/I190085865","display_name":"Universidade Federal de Sergipe","ror":"https://ror.org/028ka0n85","country_code":"BR","type":"education","lineage":["https://openalex.org/I190085865"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Artur Leandro","raw_affiliation_strings":["Computer Sciences Department, Federal University of Sergipe, Sao Cristovao, Sergipe, Brazil"],"affiliations":[{"raw_affiliation_string":"Computer Sciences Department, Federal University of Sergipe, Sao Cristovao, Sergipe, Brazil","institution_ids":["https://openalex.org/I190085865"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010731912","display_name":"Gabriel Duarte Ferreira","orcid":null},"institutions":[{"id":"https://openalex.org/I190085865","display_name":"Universidade Federal de Sergipe","ror":"https://ror.org/028ka0n85","country_code":"BR","type":"education","lineage":["https://openalex.org/I190085865"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gabriel Ferreira","raw_affiliation_strings":["Computer Sciences Department, Federal University of Sergipe, Sao Cristovao, Sergipe, Brazil"],"affiliations":[{"raw_affiliation_string":"Computer Sciences Department, Federal University of Sergipe, Sao Cristovao, Sergipe, Brazil","institution_ids":["https://openalex.org/I190085865"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020570357","display_name":"Kamel Bensebaa","orcid":null},"institutions":[{"id":"https://openalex.org/I190085865","display_name":"Universidade Federal de Sergipe","ror":"https://ror.org/028ka0n85","country_code":"BR","type":"education","lineage":["https://openalex.org/I190085865"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Kamel Bensebaa","raw_affiliation_strings":["Computer Sciences Department, Federal University of Sergipe, Sao Cristovao, Sergipe, Brazil"],"affiliations":[{"raw_affiliation_string":"Computer Sciences Department, Federal University of Sergipe, Sao Cristovao, Sergipe, Brazil","institution_ids":["https://openalex.org/I190085865"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077178463"],"corresponding_institution_ids":["https://openalex.org/I190085865"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18401483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"93","last_page":"98"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9993000030517578,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9993000030517578,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12549","display_name":"Image and Object Detection Techniques","score":0.9860000014305115,"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/ransac","display_name":"RANSAC","score":0.8823743462562561},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8230734467506409},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7685492038726807},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.7105557322502136},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6769031882286072},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.652596116065979},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5555551052093506},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5267238616943359},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4955204725265503},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4577440619468689},{"id":"https://openalex.org/keywords/closing","display_name":"Closing (real estate)","score":0.44642847776412964},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34010863304138184},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22713470458984375}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.8823743462562561},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8230734467506409},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7685492038726807},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.7105557322502136},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6769031882286072},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.652596116065979},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5555551052093506},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5267238616943359},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4955204725265503},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4577440619468689},{"id":"https://openalex.org/C2778775528","wikidata":"https://www.wikidata.org/wiki/Q5135432","display_name":"Closing (real estate)","level":2,"score":0.44642847776412964},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34010863304138184},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22713470458984375},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/euvip.2011.6045545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip.2011.6045545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3rd European Workshop on Visual Information Processing","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":20,"referenced_works":["https://openalex.org/W216012752","https://openalex.org/W1533971260","https://openalex.org/W1993390201","https://openalex.org/W2010248269","https://openalex.org/W2041812800","https://openalex.org/W2085261163","https://openalex.org/W2128084298","https://openalex.org/W2129708993","https://openalex.org/W2133059825","https://openalex.org/W2133584444","https://openalex.org/W2147555557","https://openalex.org/W2165848592","https://openalex.org/W2166614310","https://openalex.org/W2741895434","https://openalex.org/W2947103396","https://openalex.org/W3159914786","https://openalex.org/W4285719527","https://openalex.org/W6608647691","https://openalex.org/W6631863904","https://openalex.org/W6794937971"],"related_works":["https://openalex.org/W2131378265","https://openalex.org/W2984240274","https://openalex.org/W3107042705","https://openalex.org/W2115876589","https://openalex.org/W2981196697","https://openalex.org/W2769402452","https://openalex.org/W2091258128","https://openalex.org/W4385261474","https://openalex.org/W1983540692","https://openalex.org/W2609306373"],"abstract_inverted_index":{"Medical":[0],"image":[1,12,19,39,55,70,131,145],"registration":[2,40,146],"is":[3,34,46,56,66,102,115],"a":[4,17,112,123,133],"vital":[5],"medical":[6],"imaging":[7],"application.":[8],"It":[9],"aligns":[10],"one":[11],"to":[13,15,35,71,117,127],"another":[14],"obtain":[16],"registered":[18],"that":[20],"has":[21],"the":[22,49,54,62,69,74,77,81,84,91,95,98,105,109,129],"information":[23],"content":[24],"of":[25,31,41,76],"both":[26],"images.":[27],"The":[28],"main":[29,51],"focus":[30],"this":[32],"work":[33],"use":[36,122],"an":[37],"automatic":[38],"arm":[42],"radiographies.":[43],"Our":[44],"approach":[45,140],"based":[47],"on":[48,68],"following":[50],"steps:":[52],"firstly,":[53],"binarized":[57],"by":[58,89],"thresholding":[59],"technique.":[60],"Secondly,":[61],"closing":[63],"morphological":[64],"operator":[65],"performed":[67],"fill":[72],"up":[73],"holes":[75],"segmented":[78],"objects.":[79],"In":[80,94,108],"third":[82],"step,":[83,97,111],"control":[85],"points":[86],"are":[87],"obtained":[88],"using":[90,138],"skeleton":[92],"algorithm.":[93],"fourth":[96],"normalized":[99],"cross-correlation":[100],"(NCC),":[101],"adopted":[103],"as":[104],"matching":[106],"criterion.":[107],"fifth":[110],"Ransac":[113],"algorithm":[114],"applied":[116],"reject":[118],"outliers.":[119],"Finally,":[120],"we":[121],"geometric":[124],"model":[125],"estimation":[126],"map":[128],"target":[130],"onto":[132],"reference":[134],"image.":[135],"Experimental":[136],"evaluation":[137],"our":[139],"indicates":[141],"robust":[142],"and":[143],"consistent":[144],"results.":[147]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
