{"id":"https://openalex.org/W2976890933","doi":"https://doi.org/10.2352/issn.2470-1173.2019.10.iqsp-300","title":"Block window method with logistic regression algorithm for streak detection","display_name":"Block window method with logistic regression algorithm for streak detection","publication_year":2019,"publication_date":"2019-01-13","ids":{"openalex":"https://openalex.org/W2976890933","doi":"https://doi.org/10.2352/issn.2470-1173.2019.10.iqsp-300","mag":"2976890933"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2019.10.iqsp-300","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2019.10.iqsp-300","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-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/A5089230219","display_name":"Runzhe Zhang","orcid":"https://orcid.org/0009-0009-0449-3731"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Runzhe Zhang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047492207","display_name":"Eric Maggard","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eric Maggard","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044340769","display_name":"Renee Jessome","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Renee Jessome","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112883599","display_name":"Yousun Bang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yousun Bang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018572841","display_name":"Minki Cho","orcid":"https://orcid.org/0000-0003-3745-122X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Minki Cho","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5043967979","display_name":"Jan P. Allebach","orcid":"https://orcid.org/0000-0001-5608-8249"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jan Allebach","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5089230219"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4769,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65673723,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"31","issue":"10","first_page":"300","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.7455000281333923,"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":0.7455000281333923,"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/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.6753000020980835,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12549","display_name":"Image and Object Detection Techniques","score":0.6455000042915344,"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/streak","display_name":"Streak","score":0.9840032458305359},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.7391834855079651},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6538153886795044},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5646801590919495},{"id":"https://openalex.org/keywords/streak-camera","display_name":"Streak camera","score":0.545565664768219},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.5139796137809753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5082302093505859},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4398390054702759},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.432566374540329},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4286684989929199},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41677045822143555},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.41604506969451904},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39884790778160095},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.27212390303611755},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14492890238761902},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13444176316261292},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09065747261047363}],"concepts":[{"id":"https://openalex.org/C65185188","wikidata":"https://www.wikidata.org/wiki/Q107775","display_name":"Streak","level":2,"score":0.9840032458305359},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7391834855079651},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6538153886795044},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5646801590919495},{"id":"https://openalex.org/C12880257","wikidata":"https://www.wikidata.org/wiki/Q901091","display_name":"Streak camera","level":3,"score":0.545565664768219},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.5139796137809753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5082302093505859},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4398390054702759},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.432566374540329},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4286684989929199},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41677045822143555},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.41604506969451904},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39884790778160095},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.27212390303611755},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14492890238761902},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13444176316261292},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09065747261047363},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2019.10.iqsp-300","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2019.10.iqsp-300","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-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/W2523001698","https://openalex.org/W2040281315","https://openalex.org/W4320909216","https://openalex.org/W2080422664","https://openalex.org/W2090044450","https://openalex.org/W2066839972","https://openalex.org/W198646811","https://openalex.org/W2090450991","https://openalex.org/W2183397077","https://openalex.org/W1988203351"],"abstract_inverted_index":{"Streaks":[0],"are":[1,51,124],"one":[2],"of":[3,33,40,106,153,175],"the":[4,25,34,41,47,84,93,110,114,133,139,151,154,158,163,172,176,180,187],"most":[5],"common":[6],"defects":[7,122,178],"in":[8,97,179],"electrophotographic":[9,42],"printers,":[10],"and":[11,36,101,143],"dramatically":[12],"affect":[13],"print":[14],"quality.":[15],"Researchers":[16],"have":[17],"developed":[18],"methods":[19,50],"to":[20,30,82,129,137,190],"detect":[21],"streaks.":[22,107,146],"Then,":[23,183],"using":[24,109],"detection":[26,49,115,155,165],"result":[27,116],"helps":[28],"us":[29],"diagnose":[31],"issues":[32],"printer":[35,56],"discover":[37],"broken":[38],"components":[39],"printer.":[43],"In":[44,73],"previous":[45],"work,":[46],"streak":[48,59,87,164,177,193],"based":[52,91],"on":[53,92],"a":[54,78,98],"particular":[55,58],"or":[57,67,120],"defects,":[60],"such":[61],"as":[62],"Intermediate":[63],"Transfer":[64],"Belt":[65],"(ITB)":[66],"Organic":[68],"Photoconductor":[69],"(OPC)":[70],"drum":[71],"streak.":[72],"this":[74],"paper,":[75],"we":[76,160,184],"design":[77],"Block":[79,111],"Window":[80,112],"Method":[81],"pre-test":[83],"images":[85],"with":[86],"defects.":[88,194],"It":[89],"is":[90,168],"local":[94],"&#x394;E":[95],"value":[96],"block":[99],"window":[100],"works":[102],"for":[103,127,170],"different":[104,192],"kinds":[105],"After":[108,157],"Method,":[113],"includes":[117],"small":[118,144],"streaks":[119,142],"noise":[121],"that":[123],"too":[125],"localized":[126],"humans":[128],"see.":[130],"We":[131],"use":[132,186],"logistic":[134],"regression":[135],"algorithm":[136],"classify":[138,191],"real":[140],"visible":[141],"invisible":[145],"This":[147],"process":[148],"will":[149],"improve":[150],"accuracy":[152],"result.":[156],"classification,":[159],"can":[161,185],"get":[162],"result,":[166],"which":[167],"significant":[169],"extracting":[171],"feature":[173,188],"vector":[174,189],"test":[181],"image.":[182]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
