{"id":"https://openalex.org/W7168281925","doi":"https://doi.org/10.1109/iceee69936.2026.11598434","title":"An Experimental Comparison of the Trueness of the Blob Detectors","display_name":"An Experimental Comparison of the Trueness of the Blob Detectors","publication_year":2026,"publication_date":"2026-04-27","ids":{"openalex":"https://openalex.org/W7168281925","doi":"https://doi.org/10.1109/iceee69936.2026.11598434"},"language":"en","primary_location":{"id":"doi:10.1109/iceee69936.2026.11598434","doi":"https://doi.org/10.1109/iceee69936.2026.11598434","is_oa":true,"landing_page_url":"https://doi.org/10.1109/iceee69936.2026.11598434","pdf_url":null,"source":{"id":"https://openalex.org/S4363608342","display_name":"National Conference on Electrical and Electronics Engineering (ELECO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 13th International Conference on Electrical and Electronics Engineering (ICEEE)","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W7168281925"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/iceee69936.2026.11598434","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5140687868","display_name":"Ya\u011fmur Taze","orcid":null,"observed_orcids":[]},"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":false,"raw_author_name":"Ya\u011fmur Taze","raw_affiliation_strings":["Adana Alparslan T\u00fcrke\u015f Science and Technology University,Computer Engineering Department,Adana,Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adana Alparslan T\u00fcrke\u015f Science and Technology University,Computer Engineering Department,Adana,Turkey","institution_ids":["https://openalex.org/I50379099"]}]},{"author_position":"last","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":false,"raw_author_name":"Ibrahim Cem Baykal","raw_affiliation_strings":["Adana Alparslan T\u00fcrke\u015f Science and Technology University,Computer Engineering Department,Adana,Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adana Alparslan T\u00fcrke\u015f Science and Technology University,Computer Engineering Department,Adana,Turkey","institution_ids":["https://openalex.org/I50379099"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I50379099"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"265","last_page":"271"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.8628000020980835,"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":0.8628000020980835,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.07760000228881836,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.029899999499320984,"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/blob-detection","display_name":"blob detection","score":0.9710000157356262},{"id":"https://openalex.org/keywords/trueness","display_name":"trueness","score":0.6690000295639038},{"id":"https://openalex.org/keywords/maximally-stable-extremal-regions","display_name":"MSER","score":0.6830000281333923},{"id":"https://openalex.org/keywords/difference-of-gaussians","display_name":"difference of Gaussians","score":0.8759999871253967},{"id":"https://openalex.org/keywords/image-blur","display_name":"image blurring","score":0.5009999871253967},{"id":"https://openalex.org/keywords/image-noise","display_name":"image noise","score":0.9700000286102295},{"id":"https://openalex.org/keywords/keypoint-detection","display_name":"keypoint detection","score":0.6460000276565552}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5835999846458435},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.5113000273704529},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.5069000124931335},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.35760000348091125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31299999356269836},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.295199990272522},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24979999661445618},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24459999799728394},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.23839999735355377},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.22460000216960907}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceee69936.2026.11598434","doi":"https://doi.org/10.1109/iceee69936.2026.11598434","is_oa":true,"landing_page_url":"https://doi.org/10.1109/iceee69936.2026.11598434","pdf_url":null,"source":{"id":"https://openalex.org/S4363608342","display_name":"National Conference on Electrical and Electronics Engineering (ELECO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 13th International Conference on Electrical and Electronics Engineering (ICEEE)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/iceee69936.2026.11598434","doi":"https://doi.org/10.1109/iceee69936.2026.11598434","is_oa":true,"landing_page_url":"https://doi.org/10.1109/iceee69936.2026.11598434","pdf_url":null,"source":{"id":"https://openalex.org/S4363608342","display_name":"National Conference on Electrical and Electronics Engineering (ELECO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 13th International Conference on Electrical and Electronics Engineering (ICEEE)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2119605622","https://openalex.org/W2147237076","https://openalex.org/W2151103935","https://openalex.org/W2366864423","https://openalex.org/W2784180243","https://openalex.org/W2799112149","https://openalex.org/W2911933627","https://openalex.org/W2913429812","https://openalex.org/W2972861245","https://openalex.org/W3005933855","https://openalex.org/W3096227967","https://openalex.org/W3143232716","https://openalex.org/W4205535071","https://openalex.org/W4220706922","https://openalex.org/W4323345819","https://openalex.org/W4327795763","https://openalex.org/W4327968179"],"related_works":["https://openalex.org/W2247950511","https://openalex.org/W3208918070","https://openalex.org/W2734708238","https://openalex.org/W617588106","https://openalex.org/W2599860084","https://openalex.org/W2335428133","https://openalex.org/W1154820407","https://openalex.org/W7135546458","https://openalex.org/W7024948402","https://openalex.org/W7027907616"],"abstract_inverted_index":{"Blob":[0,156],"detection":[1,56],"is":[2,22,41,179],"one":[3],"of":[4,12,38,58,138,170,204],"the":[5,10,45,52,59,69,72,95,99,125,133,136,176,181,187,191,198,202,208],"important":[6,26],"methods":[7],"used":[8,23],"in":[9,24,106,129,162],"field":[11],"image":[13,177,192],"processing":[14],"to":[15,43,50,93,108,131],"extract":[16],"meaningful":[17],"information":[18],"from":[19,104],"images.":[20,171],"It":[21],"many":[25],"fields":[27],"such":[28,164],"as":[29,120,122,165],"medical":[30],"imaging,":[31],"object":[32],"tracking":[33],"and":[34,113,135,168],"astronomy.":[35],"The":[36],"objective":[37],"this":[39],"study":[40],"not":[42],"evaluate":[44,51],"key":[46],"point":[47],"detection,":[48],"but":[49,89],"actual":[53],"round":[54],"blob":[55,60,73,184],"performance":[57],"detectors":[61,157],"for":[62],"general":[63],"purpose":[64],"computer":[65],"vision":[66],"applications.":[67],"As":[68],"first":[70,126],"step,":[71],"detector":[74,185],"algorithms":[75],"that":[76,151],"have":[77],"already":[78],"been":[79],"implemented":[80,103],"on":[81,124,147],"various":[82],"platforms":[83],"are":[84,102,145],"tested":[85,146],"using":[86],"a":[87],"small":[88],"diverse":[90],"data":[91],"set":[92],"eliminate":[94],"worst":[96],"ones.":[97],"Then,":[98],"remaining":[100],"contenders":[101],"scratch,":[105],"order":[107,130],"adjust":[109],"their":[110,117],"implementation":[111],"details":[112],"parameters,":[114],"so":[115],"that,":[116,174],"accuracies":[118,161],"score":[119],"high":[121],"possible":[123],"dataset.":[127],"Finally,":[128],"measure":[132],"accuracy":[134],"trueness":[137],"these":[139],"implementations":[140],"under":[141],"difficult":[142],"conditions,":[143],"they":[144],"artificially":[148],"created":[149],"datasets":[150],"get":[152],"increasingly":[153],"more":[154],"challenging.":[155],"can":[158],"show":[159,173],"varying":[160],"aspects":[163],"sharpness,":[166],"contrast,":[167],"noise":[169],"Results":[172],"if":[175],"quality":[178],"high,":[180],"simple":[182],"grayscale":[183],"has":[186,193,207],"highest":[188,209],"accuracy.":[189],"If":[190],"blur":[194],"or":[195],"noise,":[196],"then":[197],"MSER":[199],"prevails,":[200],"while":[201],"Difference":[203],"Gaussians":[205],"(DoG)":[206],"trueness.":[210]},"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2026-07-15T00:00:00"}
