{"id":"https://openalex.org/W2568974449","doi":"https://doi.org/10.1109/iecon.2016.7794090","title":"A novel multi-intensity image labeling algorithm for real-time computer vision and robotics applications","display_name":"A novel multi-intensity image labeling algorithm for real-time computer vision and robotics applications","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2568974449","doi":"https://doi.org/10.1109/iecon.2016.7794090","mag":"2568974449"},"language":"en","primary_location":{"id":"doi:10.1109/iecon.2016.7794090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2016.7794090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society","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/A5112315544","display_name":"Ehab Salahat","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ehab Salahat","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5112315544"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5068,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74552887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9646","issue":null,"first_page":"7131","last_page":"7136"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9961000084877014,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9667999744415283,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7936133146286011},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.6532976031303406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5609310865402222},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5244981646537781},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5067124962806702},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4829913377761841},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.44156602025032043},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3848816752433777},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.375720351934433},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.32001248002052307}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7936133146286011},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.6532976031303406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5609310865402222},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5244981646537781},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5067124962806702},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4829913377761841},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.44156602025032043},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3848816752433777},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.375720351934433},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.32001248002052307},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iecon.2016.7794090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2016.7794090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"},{"id":"mag:2913971733","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/20090422/201702270822072809","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1532286114","https://openalex.org/W1564419782","https://openalex.org/W1770094680","https://openalex.org/W1926270821","https://openalex.org/W1967140145","https://openalex.org/W1967326974","https://openalex.org/W1976678415","https://openalex.org/W2022903746","https://openalex.org/W2026411188","https://openalex.org/W2040398869","https://openalex.org/W2040582952","https://openalex.org/W2121174102","https://openalex.org/W2129042353","https://openalex.org/W2148556285","https://openalex.org/W2278786327","https://openalex.org/W2295743913","https://openalex.org/W4231140224","https://openalex.org/W6637992825"],"related_works":["https://openalex.org/W1508899372","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W3037187668","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2017449983","https://openalex.org/W2340724640"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,95],"novel":[4],"multi-intensity":[5,88],"image":[6,76],"labeling":[7,31,89,108,135],"algorithm":[8,22,129],"tailored":[9],"to":[10,85,97],"provide":[11],"high":[12],"throughput":[13],"for":[14,119],"real-time":[15],"computer":[16],"vision":[17],"and":[18,24,41,77,110,137],"robotics":[19],"applications.":[20],"The":[21],"overcomes":[23],"alleviates":[25],"many":[26],"drawbacks":[27],"of":[28,36],"the":[29,34,37,49,54,60,74,79,87,99,107,132],"earlier":[30],"techniques.":[32],"With":[33,64],"aid":[35],"newly":[38],"introduced":[39],"pre-":[40],"post-equivalence":[42],"solving":[43],"stages,":[44],"it":[45,69,116],"assigns":[46],"each":[47],"pixel":[48],"correct":[50],"label":[51],"value":[52],"with":[53,131],"minimal":[55,80],"possible":[56,81],"accesses,":[57],"hence":[58],"approaching":[59],"maximal":[61],"processing":[62],"rate.":[63],"its":[65,143],"efficient":[66],"algorithmic":[67],"design,":[68],"does":[70],"not":[71],"require":[72],"buffering":[73],"entire":[75],"uses":[78],"memory":[82],"space":[83],"required":[84,100],"perform":[86],"task.":[90],"It":[91],"was":[92],"designed":[93],"in":[94,142],"way":[96],"reduce":[98],"conditional":[101],"statements":[102],"(e.g.":[103,122],"comparisons)":[104],"that":[105,127],"stall":[106],"pipeline":[109],"prevent":[111],"parallelizability.":[112],"These":[113],"merits":[114],"make":[115],"very":[117],"suitable":[118],"hardware":[120],"design":[121],"GPUs).":[123],"Testing":[124],"results":[125],"prove":[126],"our":[128],"competes":[130],"world's":[133],"fastest":[134],"algorithm,":[136],"is":[138],"2\u00d7~3\u00d7":[139],"times":[140],"faster":[141],"worst":[144],"case":[145],"scenario.":[146]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}