{"id":"https://openalex.org/W2266302971","doi":"https://doi.org/10.1109/siu.2015.7130185","title":"A new method for object detection from binary images","display_name":"A new method for object detection from binary images","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W2266302971","doi":"https://doi.org/10.1109/siu.2015.7130185","mag":"2266302971"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2015.7130185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2015.7130185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5029287310","display_name":"T\u00fcrker Tuncer","orcid":null},"institutions":[{"id":"https://openalex.org/I198068145","display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu","ror":"https://ror.org/04w9kkr77","country_code":"TR","type":"government","lineage":["https://openalex.org/I198068145"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"T\u00fcrker Tuncer","raw_affiliation_strings":["Firat Üniversitesi Teknoloji Fakültesi, Adli Bilişim Mühendisliği Bölümü, 23119, Elazığ, TÜRKİYE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Firat Üniversitesi Teknoloji Fakültesi, Adli Bilişim Mühendisliği Bölümü, 23119, Elazığ, TÜRKİYE","institution_ids":["https://openalex.org/I198068145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070904845","display_name":"Engin Avc\u0131","orcid":"https://orcid.org/0000-0002-5881-1530"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Engin Avci","raw_affiliation_strings":["Fırat Üniversitesi Teknoloji Fakültesi, Yazılım Mühendisliği Bölümü, 23119, Elazığ, TÜRKİYE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fırat Üniversitesi Teknoloji Fakültesi, Yazılım Mühendisliği Bölümü, 23119, Elazığ, TÜRKİYE","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080032490","display_name":"Resul \u00c7\u00f6teli\u0307","orcid":"https://orcid.org/0000-0002-7365-4318"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Resul \u00c7\u00f6teli\u0307","raw_affiliation_strings":["Fırat Üniversitesi Teknoloji Fakültesi, Enerji Sistemleri Mühendisliği Bölümü, 23119, Elazığ, TÜRKİYE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fırat Üniversitesi Teknoloji Fakültesi, Enerji Sistemleri Mühendisliği Bölümü, 23119, Elazığ, TÜRKİYE","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1725","last_page":"1728"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.882099986076355,"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"}},"topics":[{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.882099986076355,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.8799999952316284,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.8461999893188477,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8173387050628662},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.7362593412399292},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7330823540687561},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7144362330436707},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7119793891906738},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6748269200325012},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.6361455917358398},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6211121082305908},{"id":"https://openalex.org/keywords/viola\u2013jones-object-detection-framework","display_name":"Viola\u2013Jones object detection framework","score":0.5915123820304871},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5777270793914795},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.5537190437316895},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5450451970100403},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5311516523361206},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5281636118888855},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.5146663784980774},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.41022664308547974},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28939956426620483},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21250301599502563},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.1098623275756836}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8173387050628662},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.7362593412399292},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7330823540687561},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7144362330436707},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7119793891906738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6748269200325012},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.6361455917358398},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6211121082305908},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.5915123820304871},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5777270793914795},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.5537190437316895},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5450451970100403},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5311516523361206},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5281636118888855},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.5146663784980774},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.41022664308547974},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28939956426620483},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21250301599502563},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.1098623275756836},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2015.7130185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2015.7130185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3204852000","https://openalex.org/W2903682969","https://openalex.org/W2080594779","https://openalex.org/W4231619935","https://openalex.org/W2096901180","https://openalex.org/W3217578509","https://openalex.org/W2364171767","https://openalex.org/W2562222274","https://openalex.org/W4387272257","https://openalex.org/W2131115545"],"abstract_inverted_index":{"There":[0],"could":[1],"be":[2],"one":[3],"or":[4],"more":[5],"objects":[6,84],"in":[7],"an":[8],"image.":[9],"Object":[10],"detection":[11,26,48,56],"algorithms":[12],"are":[13,31,80,85,98],"needed":[14],"to":[15],"detect":[16],"these":[17,89],"objects.":[18,28,50],"Many":[19],"methods":[20,30],"have":[21],"been":[22],"proposed":[23,45,52],"for":[24,46],"the":[25,47,75,78,93,96,101],"of":[27,49,74,92],"These":[29],"based":[32,58],"on":[33,59,77,95],"various":[34],"feature":[35],"extraction":[36],"methods.":[37],"In":[38,61],"this":[39,62],"study,":[40],"a":[41],"new":[42],"algorithm":[43],"is":[44,54,65,104],"The":[51,82],"method":[53],"object":[55,76,94,103],"model":[57],"thresholding.":[60],"model,":[63],"image":[64,79,97],"firstly":[66],"converted":[67],"into":[68],"binary":[69],"form":[70],"and":[71,100],"coordinates":[72],"points":[73,91],"determined.":[81],"detected":[83],"determined":[86,99],"by":[87],"using":[88],"coordinate":[90],"desired":[102],"extracted.":[105]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}