{"id":"https://openalex.org/W2612880638","doi":"https://doi.org/10.23919/date.2017.7927085","title":"An advanced embedded architecture for connected component analysis in industrial applications","display_name":"An advanced embedded architecture for connected component analysis in industrial applications","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2612880638","doi":"https://doi.org/10.23919/date.2017.7927085","mag":"2612880638"},"language":"en","primary_location":{"id":"doi:10.23919/date.2017.7927085","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2017.7927085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017","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/A5065374950","display_name":"Menbere Kina Tekleyohannes","orcid":null},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Menbere Tekleyohannes","raw_affiliation_strings":["University of Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"University of Kaiserslautern, Germany","institution_ids":["https://openalex.org/I153267046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030222501","display_name":"Mohammadsadegh Sadri","orcid":null},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mohammadsadegh Sadri","raw_affiliation_strings":["University of Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"University of Kaiserslautern, Germany","institution_ids":["https://openalex.org/I153267046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090870819","display_name":"Christian Weis","orcid":"https://orcid.org/0000-0002-4152-0200"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Weis","raw_affiliation_strings":["University of Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"University of Kaiserslautern, Germany","institution_ids":["https://openalex.org/I153267046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059285190","display_name":"Norbert Wehn","orcid":"https://orcid.org/0000-0002-9010-086X"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Norbert Wehn","raw_affiliation_strings":["University of Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"University of Kaiserslautern, Germany","institution_ids":["https://openalex.org/I153267046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033673419","display_name":"Martin Klein","orcid":"https://orcid.org/0000-0001-5553-7911"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martin Klein","raw_affiliation_strings":["Wipotec Wiege-und Positioniersysteme GmbH, Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"Wipotec Wiege-und Positioniersysteme GmbH, Kaiserslautern, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033318256","display_name":"Michael Siegrist","orcid":"https://orcid.org/0000-0002-6139-7190"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael Siegrist","raw_affiliation_strings":["Wipotec Wiege-und Positioniersysteme GmbH, Kaiserslautern, Germany"],"affiliations":[{"raw_affiliation_string":"Wipotec Wiege-und Positioniersysteme GmbH, Kaiserslautern, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5065374950"],"corresponding_institution_ids":["https://openalex.org/I153267046"],"apc_list":null,"apc_paid":null,"fwci":0.8202,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.80586849,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"734","last_page":"735"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing 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/T12923","display_name":"Digital Image Processing 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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9969000220298767,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9944000244140625,"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/computer-science","display_name":"Computer science","score":0.7876344919204712},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.748947024345398},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.6324907541275024},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5194703936576843},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4958830773830414},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.46028393507003784},{"id":"https://openalex.org/keywords/system-on-a-chip","display_name":"System on a chip","score":0.43637481331825256},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3527548909187317}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7876344919204712},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.748947024345398},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.6324907541275024},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5194703936576843},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4958830773830414},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.46028393507003784},{"id":"https://openalex.org/C118021083","wikidata":"https://www.wikidata.org/wiki/Q610398","display_name":"System on a chip","level":2,"score":0.43637481331825256},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3527548909187317},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date.2017.7927085","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2017.7927085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017","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":9,"referenced_works":["https://openalex.org/W2006699902","https://openalex.org/W2040582952","https://openalex.org/W2105442272","https://openalex.org/W2134267285","https://openalex.org/W2170495277","https://openalex.org/W2172241415","https://openalex.org/W2466310371","https://openalex.org/W4234437550","https://openalex.org/W6675873586"],"related_works":["https://openalex.org/W1967938402","https://openalex.org/W2386041993","https://openalex.org/W1608572506","https://openalex.org/W2160474882","https://openalex.org/W2502691491","https://openalex.org/W2119122672","https://openalex.org/W4246278333","https://openalex.org/W4292904049","https://openalex.org/W4213404769","https://openalex.org/W1979259943"],"abstract_inverted_index":{"In":[0,42,87],"recent":[1],"years,":[2],"connected":[3,39],"component":[4,40],"analysis":[5],"(CCA)":[6],"has":[7],"become":[8],"one":[9],"of":[10,24,45,64,79,96,118,144],"the":[11,22,43,113,119,122,131,135,156,161,177,181],"vital":[12],"image/video":[13],"processing":[14],"algorithms":[15],"due":[16,73,159],"to":[17,74,121,150,160,179],"its":[18],"wide-range":[19],"applicability":[20],"in":[21],"field":[23,67],"computer":[25],"vision.":[26],"Numerous":[27],"applications":[28],"such":[29],"as":[30],"pattern":[31],"recognition,":[32],"object":[33],"detection":[34],"and":[35,169],"image":[36],"segmentation":[37],"involve":[38],"analysis.":[41],"context":[44],"camera-based":[46],"inspection":[47],"systems,":[48],"CCA":[49,65,97],"plays":[50],"an":[51,99],"important":[52],"role":[53],"for":[54,98],"quality":[55],"assurance.":[56],"State-of-the-art":[57],"hardware":[58,152],"architectures":[59,153],"offer":[60],"high":[61,76,127],"performance":[62],"implementations":[63,81],"using":[66,102],"programmable":[68],"gate":[69],"arrays":[70],"(FPGAs).":[71],"However,":[72],"their":[75],"memory-demand,":[77],"most":[78,114],"these":[80],"inhibit":[82],"a":[83,92,167],"large":[84],"resource":[85,115],"utilization.":[86],"this":[88],"paper,":[89],"we":[90,125],"propose":[91],"hybrid":[93],"software-hardware":[94],"architecture":[95,139],"industrial":[100],"application":[101],"Xilinx":[103],"Zynq-7000":[104],"All":[105],"Programmable":[106],"System":[107],"on":[108,134],"Chip":[109],"(SoC).":[110],"By":[111],"offloading":[112],"consuming":[116],"part":[117],"algorithm":[120],"embedded":[123,162],"CPU,":[124,163],"achieved":[126],"performance,":[128],"while":[129],"reducing":[130],"required":[132],"resources":[133],"FPGA.":[136,182],"Our":[137],"proposed":[138],"saves":[140],"more":[141],"than":[142],"30%":[143],"on-chip":[145],"memory":[146],"(Block":[147],"RAMs)":[148],"compared":[149],"state-of-the-art":[151],"without":[154,176],"affecting":[155],"throughput.":[157],"Furthermore,":[158],"our":[164],"system":[165],"provides":[166],"versatile":[168],"highly":[170],"flexible":[171],"feature":[172],"extraction":[173],"at":[174],"run-time":[175],"necessity":[178],"reconfigure":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}