{"id":"https://openalex.org/W2131099586","doi":"https://doi.org/10.1109/cbms.2010.6042659","title":"Fast Dual-Point Hough Transform for medical object recognition","display_name":"Fast Dual-Point Hough Transform for medical object recognition","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2131099586","doi":"https://doi.org/10.1109/cbms.2010.6042659","mag":"2131099586"},"language":"en","primary_location":{"id":"doi:10.1109/cbms.2010.6042659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms.2010.6042659","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS)","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/A5051691807","display_name":"Alena Bakulina","orcid":null},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Alena Bakulina","raw_affiliation_strings":["Institute of Computational Medicine (ICM), University of Heidelberg, Mannheim, Germany","Institute of Computational Medicine (ICM), University of Heidelberg, 68159 Mannheim, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Computational Medicine (ICM), University of Heidelberg, Mannheim, Germany","institution_ids":["https://openalex.org/I223822909"]},{"raw_affiliation_string":"Institute of Computational Medicine (ICM), University of Heidelberg, 68159 Mannheim, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064727317","display_name":"Dzmitry Hlindzich","orcid":null},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dzmitry Hlindzich","raw_affiliation_strings":["Institute of Computational Medicine (ICM), University of Heidelberg, Mannheim, Germany","Institute of Computational Medicine (ICM), University of Heidelberg, 68159 Mannheim, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Computational Medicine (ICM), University of Heidelberg, Mannheim, Germany","institution_ids":["https://openalex.org/I223822909"]},{"raw_affiliation_string":"Institute of Computational Medicine (ICM), University of Heidelberg, 68159 Mannheim, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108527889","display_name":"R. M\u00e4enner","orcid":null},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Reinhard Maenner","raw_affiliation_strings":["Institute of Computer Engineering (ZITI), University of Heidelberg, Mannheim, Germany","Institute of Computer Engineering (ZITI), University of Heidelberg, 68159 Mannheim, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Engineering (ZITI), University of Heidelberg, Mannheim, Germany","institution_ids":["https://openalex.org/I223822909"]},{"raw_affiliation_string":"Institute of Computer Engineering (ZITI), University of Heidelberg, 68159 Mannheim, Germany","institution_ids":["https://openalex.org/I223822909"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051691807"],"corresponding_institution_ids":["https://openalex.org/I223822909"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18987342,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"297","last_page":"302"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10638","display_name":"Optical measurement and interference techniques","score":0.9825000166893005,"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/hough-transform","display_name":"Hough transform","score":0.9435306191444397},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7286025285720825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7249438762664795},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7066749930381775},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6400283575057983},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.601302981376648},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5872941613197327},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5665377974510193},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43098723888397217},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34675341844558716},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16171064972877502}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.9435306191444397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7286025285720825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7249438762664795},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7066749930381775},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6400283575057983},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.601302981376648},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5872941613197327},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5665377974510193},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43098723888397217},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34675341844558716},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16171064972877502},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cbms.2010.6042659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms.2010.6042659","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W205293199","https://openalex.org/W1981503287","https://openalex.org/W2004491626","https://openalex.org/W2010181125","https://openalex.org/W2024298659","https://openalex.org/W2029986528","https://openalex.org/W2036025556","https://openalex.org/W2042831519","https://openalex.org/W2051381166","https://openalex.org/W2065154920","https://openalex.org/W2095905764","https://openalex.org/W2104241941","https://openalex.org/W2106318597","https://openalex.org/W2125884528","https://openalex.org/W2150874221","https://openalex.org/W6608319785","https://openalex.org/W6661163720","https://openalex.org/W6678484808"],"related_works":["https://openalex.org/W2030098947","https://openalex.org/W2363834444","https://openalex.org/W2114275278","https://openalex.org/W2769899322","https://openalex.org/W2352553236","https://openalex.org/W1489511283","https://openalex.org/W2974914859","https://openalex.org/W2110244802","https://openalex.org/W949345935","https://openalex.org/W2060811007"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"introduce":[4],"a":[5,18,70],"new":[6],"object":[7,75],"recognition":[8,76],"method":[9],"for":[10,73],"detecting":[11],"objects":[12],"of":[13,20,61],"arbitrary":[14],"shapes":[15],"based":[16],"on":[17,38],"combination":[19],"the":[21,27,35,59,62],"Fast":[22],"Hough":[23,30],"Transform":[24,31],"(FHT)":[25],"and":[26,44,57,65],"Dual-Point":[28],"Generalized":[29],"(DPGHT).":[32],"We":[33],"validate":[34],"proposed":[36,50],"approach":[37],"medical":[39,74],"images":[40],"(cryosection,":[41],"US,":[42],"MRI)":[43],"describe":[45],"its":[46],"basic":[47],"features.":[48],"The":[49],"algorithm":[51],"is":[52],"robust,":[53],"low":[54],"memory":[55],"consumptive":[56],"utilizes":[58],"advantages":[60],"both":[63],"FHT":[64],"DPGHT":[66],"that":[67],"makes":[68],"it":[69],"good":[71],"solution":[72],"applications.":[77]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}