{"id":"https://openalex.org/W2756389538","doi":"https://doi.org/10.1109/hpcs.2017.123","title":"A Fast CUDA-Based Implementation for the Euclidean Distance Transform","display_name":"A Fast CUDA-Based Implementation for the Euclidean Distance Transform","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2756389538","doi":"https://doi.org/10.1109/hpcs.2017.123","mag":"2756389538"},"language":"en","primary_location":{"id":"doi:10.1109/hpcs.2017.123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcs.2017.123","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on High Performance Computing & Simulation (HPCS)","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/A5042530175","display_name":"Francisco de Assis Zampirolli","orcid":"https://orcid.org/0000-0002-7707-1793"},"institutions":[{"id":"https://openalex.org/I71715416","display_name":"Universidade Federal do ABC","ror":"https://ror.org/028kg9j04","country_code":"BR","type":"education","lineage":["https://openalex.org/I71715416"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Francisco de Assis Zampirolli","raw_affiliation_strings":["Fed. Univ. of ABC, Sao Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"Fed. Univ. of ABC, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I71715416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071966661","display_name":"Leonardo Filipe","orcid":"https://orcid.org/0009-0006-4161-668X"},"institutions":[{"id":"https://openalex.org/I71715416","display_name":"Universidade Federal do ABC","ror":"https://ror.org/028kg9j04","country_code":"BR","type":"education","lineage":["https://openalex.org/I71715416"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Leonardo Filipe","raw_affiliation_strings":["Federal University of ABC S\u00e3o Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of ABC S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I71715416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042530175"],"corresponding_institution_ids":["https://openalex.org/I71715416"],"apc_list":null,"apc_paid":null,"fwci":0.4551,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.72958433,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"815","last_page":"818"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":0.9998000264167786,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9998000264167786,"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/T10052","display_name":"Medical Image Segmentation Techniques","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/T12549","display_name":"Image and Object Detection Techniques","score":0.9987000226974487,"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/cuda","display_name":"CUDA","score":0.8601903319358826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8114120960235596},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.7871026396751404},{"id":"https://openalex.org/keywords/distance-transform","display_name":"Distance transform","score":0.6339254379272461},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.6212396025657654},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6159588098526001},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.6007582545280457},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5289412140846252},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.5181680917739868},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.4562470018863678},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36079713702201843},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3492013216018677},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.30096787214279175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29131627082824707}],"concepts":[{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.8601903319358826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8114120960235596},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.7871026396751404},{"id":"https://openalex.org/C73621898","wikidata":"https://www.wikidata.org/wiki/Q2940504","display_name":"Distance transform","level":3,"score":0.6339254379272461},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.6212396025657654},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6159588098526001},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.6007582545280457},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5289412140846252},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.5181680917739868},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.4562470018863678},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36079713702201843},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3492013216018677},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.30096787214279175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29131627082824707},{"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/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/hpcs.2017.123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcs.2017.123","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on High Performance Computing & Simulation (HPCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W17017210","https://openalex.org/W1517229131","https://openalex.org/W1973965874","https://openalex.org/W1980120028","https://openalex.org/W1984727116","https://openalex.org/W1996342882","https://openalex.org/W2000374918","https://openalex.org/W2014842528","https://openalex.org/W2027917757","https://openalex.org/W2036141792","https://openalex.org/W2041666134","https://openalex.org/W2051603011","https://openalex.org/W2069537876","https://openalex.org/W2089178859","https://openalex.org/W2110507554","https://openalex.org/W2113411250","https://openalex.org/W2115284428","https://openalex.org/W2124260943","https://openalex.org/W2149390149","https://openalex.org/W4231523948","https://openalex.org/W6600695297","https://openalex.org/W6813151395"],"related_works":["https://openalex.org/W1963859303","https://openalex.org/W2364044215","https://openalex.org/W2389600408","https://openalex.org/W240129890","https://openalex.org/W3048701459","https://openalex.org/W2149078538","https://openalex.org/W2370314112","https://openalex.org/W1912958759","https://openalex.org/W2792081825","https://openalex.org/W2893308117"],"abstract_inverted_index":{"In":[0],"Image":[1],"Processing":[2],"efficient":[3,63],"algorithms":[4],"are":[5],"always":[6],"pursued":[7],"for":[8,23],"applications":[9],"that":[10],"use":[11],"the":[12,38,54,92],"most":[13],"advanced":[14],"hardware":[15],"architectures.":[16],"Distance":[17,40],"Transform":[18,41],"is":[19,60],"a":[20,61,86],"classic":[21],"operation":[22],"blurring":[24],"effects,":[25],"skeletonizing,":[26],"segmentation":[27],"and":[28,58,82],"various":[29,80],"other":[30],"purposes.":[31],"This":[32],"article":[33],"presents":[34],"two":[35],"implementations":[36,94],"of":[37,53,65,79],"Euclidean":[39],"using":[42,69],"CUDA":[43],"(Compute":[44],"Unified":[45],"Device":[46],"Architecture)":[47],"in":[48,95],"GPU":[49],"(Graphics":[50],"Process":[51],"Unit):":[52],"Meijster's":[55],"Sequential":[56],"Algorithm":[57],"another":[59],"very":[62],"algorithm":[64],"simple":[66],"structure.":[67],"Both":[68],"only":[70],"shared":[71],"memory.":[72],"The":[73],"results":[74],"presented":[75],"herein":[76],"used":[77],"images":[78],"types":[81],"sizes":[83],"to":[84],"show":[85],"faster":[87],"run":[88],"time":[89],"compared":[90],"with":[91],"best-known":[93],"CPU.":[96]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}