{"id":"https://openalex.org/W2981990257","doi":"https://doi.org/10.1109/idap.2019.8875918","title":"Improving the Hough Transform Through Three New Morphological Operators","display_name":"Improving the Hough Transform Through Three New Morphological Operators","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2981990257","doi":"https://doi.org/10.1109/idap.2019.8875918","mag":"2981990257"},"language":"en","primary_location":{"id":"doi:10.1109/idap.2019.8875918","doi":"https://doi.org/10.1109/idap.2019.8875918","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idap.2019.8875918","pdf_url":null,"source":{"id":"https://openalex.org/S4306498172","display_name":"International Artificial Intelligence and Data Processing Symposium (IDAP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Artificial Intelligence and Data Processing Symposium (IDAP)","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W2981990257"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"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/A5071222017","display_name":"\u0130brahim Cem Baykal","orcid":"https://orcid.org/0000-0003-1093-0984","observed_orcids":["https://orcid.org/0000-0003-1093-0984"]},"institutions":[{"id":"https://openalex.org/I50379099","display_name":"Adana Science and Technology University","ror":"https://ror.org/013z3yn41","country_code":"TR","type":"education","lineage":["https://openalex.org/I50379099"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Ibrahim Cem Baykal","raw_affiliation_strings":["Computer Engineering Department, Adana A. T. Science & Technology University, Adana, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering Department, Adana A. T. Science & Technology University, Adana, Turkey","institution_ids":["https://openalex.org/I50379099"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5071222017"],"corresponding_institution_ids":["https://openalex.org/I50379099"],"apc_list":null,"apc_paid":null,"fwci":0.161,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.44034783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"654","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":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/T12549","display_name":"Image and Object Detection 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/T10036","display_name":"Advanced Neural Network Applications","score":0.0,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.9909999966621399},{"id":"https://openalex.org/keywords/line-detection","display_name":"line detection","score":0.9629999995231628},{"id":"https://openalex.org/keywords/edge-thinning","display_name":"edge thinning","score":0.7450000047683716},{"id":"https://openalex.org/keywords/binary-edge-images","display_name":"binary edge images","score":0.8410000205039978},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.8040000200271606}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.9696652889251709},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.7593580484390259},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6451236009597778},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6429458260536194},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6416668891906738},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6388363838195801},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5714623332023621},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5625264644622803},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5535882711410522},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.5479124784469604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5335825681686401},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48350003361701965},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.47007280588150024},{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.43218743801116943},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42447420954704285},{"id":"https://openalex.org/C185529760","wikidata":"https://www.wikidata.org/wiki/Q164307","display_name":"Binary operation","level":2,"score":0.41299134492874146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3450477421283722},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.33341482281684875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24467536807060242},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.15456384420394897},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08543500304222107},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.07037407159805298},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"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/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/idap.2019.8875918","doi":"https://doi.org/10.1109/idap.2019.8875918","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idap.2019.8875918","pdf_url":null,"source":{"id":"https://openalex.org/S4306498172","display_name":"International Artificial Intelligence and Data Processing Symposium (IDAP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Artificial Intelligence and Data Processing Symposium (IDAP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W1593939129","https://openalex.org/W1967300035","https://openalex.org/W1972582204","https://openalex.org/W1991915103","https://openalex.org/W2021278996","https://openalex.org/W2029895480","https://openalex.org/W2039367092","https://openalex.org/W2066303368","https://openalex.org/W2095905764","https://openalex.org/W2115725261","https://openalex.org/W2131152938","https://openalex.org/W2145023731","https://openalex.org/W2155912251","https://openalex.org/W2160072137","https://openalex.org/W2164944168"],"related_works":["https://openalex.org/W4406225742","https://openalex.org/W3208174560","https://openalex.org/W175969237","https://openalex.org/W2391190649","https://openalex.org/W2153373084","https://openalex.org/W2013407736","https://openalex.org/W2387930828","https://openalex.org/W2368748876","https://openalex.org/W2111486632","https://openalex.org/W2070290716"],"abstract_inverted_index":{"Despite":[0],"being":[1],"one":[2,51],"of":[3,36,42,91,104],"the":[4,40,43,49,63,89,92,95,98,102,105],"most":[5],"famous":[6],"line":[7],"detectors,":[8],"Hough":[9,14,75],"Transform":[10,15,76],"has":[11],"reliability":[12],"issues.":[13],"works":[16],"better":[17],"on":[18,97],"long":[19],"lines.":[20],"This":[21],"article":[22],"introduces":[23],"three":[24],"new":[25],"binary":[26,31,44],"morphological":[27],"operators":[28,38,73],"that":[29,48,65,70],"stretches":[30],"edge":[32,45],"images.":[33],"The":[34,55,85],"first":[35],"these":[37,71],"thins":[39],"output":[41],"image":[46],"so":[47],"second":[50],"can":[52],"stretch":[53],"it.":[54],"third":[56],"operator,":[57],"smooth,":[58],"is":[59],"designed":[60],"for":[61],"smoothing":[62],"lines":[64],"are":[66],"stretched.":[67],"Results":[68],"show":[69],"two":[72],"improve":[74],"results":[77],"considerably":[78],"at":[79],"a":[80],"very":[81],"low":[82],"computational":[83],"expense.":[84],"author":[86],"publicly":[87],"shared":[88],"executable":[90],"algorithm":[93],"and":[94],"dataset":[96],"Github":[99],"to":[100],"prove":[101],"efficiency":[103],"method.":[106]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2019-11-01T00:00:00"}
