{"id":"https://openalex.org/W2879220499","doi":"https://doi.org/10.1109/i2mtc.2018.8409852","title":"A fast line extraction method based on basic segment grouping","display_name":"A fast line extraction method based on basic segment grouping","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2879220499","doi":"https://doi.org/10.1109/i2mtc.2018.8409852","mag":"2879220499"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2018.8409852","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2018.8409852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5062437874","display_name":"Bal\u00e1zs Tusor","orcid":null},"institutions":[{"id":"https://openalex.org/I216306336","display_name":"Selye J\u00e1nos University","ror":"https://ror.org/00zevd106","country_code":"SK","type":"education","lineage":["https://openalex.org/I216306336"]}],"countries":["SK"],"is_corresponding":true,"raw_author_name":"Balazs Tusor","raw_affiliation_strings":["Department of Mathematics and Informatics, J. Selye University, Budapest, Komarno, Hungary, Slovakia"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Informatics, J. Selye University, Budapest, Komarno, Hungary, Slovakia","institution_ids":["https://openalex.org/I216306336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053864965","display_name":"Annam\u00e1ria R. V\u00e1rkonyi-K\u00f3czy","orcid":"https://orcid.org/0000-0002-6932-8608"},"institutions":[{"id":"https://openalex.org/I216306336","display_name":"Selye J\u00e1nos University","ror":"https://ror.org/00zevd106","country_code":"SK","type":"education","lineage":["https://openalex.org/I216306336"]}],"countries":["SK"],"is_corresponding":false,"raw_author_name":"Annamaria. R. Varkonyi-Koczy","raw_affiliation_strings":["Department of Mathematics and Informatics, J. Selye University, Budapest, Komarno, Hungary, Slovakia"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Informatics, J. Selye University, Budapest, Komarno, Hungary, Slovakia","institution_ids":["https://openalex.org/I216306336"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084865093","display_name":"J\u00f3zsef Bukor","orcid":"https://orcid.org/0000-0003-4134-2181"},"institutions":[{"id":"https://openalex.org/I216306336","display_name":"Selye J\u00e1nos University","ror":"https://ror.org/00zevd106","country_code":"SK","type":"education","lineage":["https://openalex.org/I216306336"]}],"countries":["SK"],"is_corresponding":false,"raw_author_name":"Jozsef Bukor","raw_affiliation_strings":["Department of Mathematics and Informatics, J. Selye University, Komarno, Slovakia"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Informatics, J. Selye University, Komarno, Slovakia","institution_ids":["https://openalex.org/I216306336"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062437874"],"corresponding_institution_ids":["https://openalex.org/I216306336"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06744713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"1","last_page":"6"},"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9950000047683716,"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":0.9947999715805054,"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":0.7570854425430298},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6586124300956726},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6166741251945496},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5872005224227905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49145591259002686},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.48070842027664185},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.46465864777565},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4432506859302521},{"id":"https://openalex.org/keywords/line-segment","display_name":"Line segment","score":0.4270581007003784},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4144169092178345},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4091606140136719},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1456456184387207},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.058793842792510986}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7570854425430298},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6586124300956726},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6166741251945496},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5872005224227905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49145591259002686},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.48070842027664185},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.46465864777565},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4432506859302521},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.4270581007003784},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4144169092178345},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4091606140136719},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1456456184387207},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.058793842792510986},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc.2018.8409852","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2018.8409852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321994","display_name":"Hungarian Scientific Research Fund","ror":"https://ror.org/00v349e63"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W62719046","https://openalex.org/W1566134554","https://openalex.org/W2026131180","https://openalex.org/W2028341025","https://openalex.org/W2064521502","https://openalex.org/W2095905764","https://openalex.org/W2098142346","https://openalex.org/W2128338278","https://openalex.org/W2134258345","https://openalex.org/W2145023731","https://openalex.org/W2548258376","https://openalex.org/W2766301133","https://openalex.org/W2986393129"],"related_works":["https://openalex.org/W2067272521","https://openalex.org/W2028037572","https://openalex.org/W2315652488","https://openalex.org/W2039365229","https://openalex.org/W2145843506","https://openalex.org/W2379089757","https://openalex.org/W4293054829","https://openalex.org/W2056407677","https://openalex.org/W2128085731","https://openalex.org/W2551441443"],"abstract_inverted_index":{"Finding":[0],"straight":[1,62],"lines":[2,31,43,63],"on":[3,44,53],"images":[4],"is":[5,24,27,74],"a":[6,21,36,88],"regularly":[7],"occurring":[8],"problem":[9],"in":[10],"fields":[11],"of":[12,29,71,77],"science":[13],"that":[14,26,75],"include":[15],"image":[16],"processing.":[17],"In":[18],"this":[19,72],"paper,":[20],"new":[22],"method":[23,73],"proposed":[25],"capable":[28],"extracting":[30],"from":[32],"images.":[33],"It":[34],"uses":[35],"bottom-up":[37],"approach:":[38],"finding":[39],"small":[40],"(3-pixels":[41],"long)":[42],"the":[45,58,60],"edge":[46],"map,":[47],"analyzing":[48],"and":[49],"grouping":[50],"them":[51],"based":[52],"their":[54],"derived":[55],"characteristics.":[56],"From":[57],"groups,":[59],"appropriate":[61],"can":[64,80],"be":[65,81],"easily":[66],"determined.":[67],"The":[68],"main":[69],"advantage":[70],"most":[76],"its":[78],"functionalities":[79],"done":[82],"with":[83],"parallel":[84],"computing,":[85],"thus":[86],"achieving":[87],"very":[89],"fast":[90],"operation.":[91]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}