{"id":"https://openalex.org/W4280569023","doi":"https://doi.org/10.3390/jimaging8050136","title":"Data Extraction of Circular-Shaped and Grid-like Chart Images","display_name":"Data Extraction of Circular-Shaped and Grid-like Chart Images","publication_year":2022,"publication_date":"2022-05-12","ids":{"openalex":"https://openalex.org/W4280569023","doi":"https://doi.org/10.3390/jimaging8050136","pmid":"https://pubmed.ncbi.nlm.nih.gov/35621900"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging8050136","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging8050136","pdf_url":"https://www.mdpi.com/2313-433X/8/5/136/pdf?version=1652362342","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2313-433X/8/5/136/pdf?version=1652362342","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049761239","display_name":"Filip Baji\u0107","orcid":"https://orcid.org/0000-0001-5925-9760"},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":true,"raw_author_name":"Filip Baji\u0107","raw_affiliation_strings":["University Computing Centre, University of Zagreb, 10000 Zagreb, Croatia"],"raw_orcid":"https://orcid.org/0000-0001-5925-9760","affiliations":[{"raw_affiliation_string":"University Computing Centre, University of Zagreb, 10000 Zagreb, Croatia","institution_ids":["https://openalex.org/I181343428"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012725804","display_name":"Josip Job","orcid":"https://orcid.org/0000-0002-6998-5907"},"institutions":[{"id":"https://openalex.org/I51314090","display_name":"University of Osijek","ror":"https://ror.org/05sw4wc49","country_code":"HR","type":"education","lineage":["https://openalex.org/I51314090"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Josip Job","raw_affiliation_strings":["Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 31000 Osijek, Croatia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 31000 Osijek, Croatia","institution_ids":["https://openalex.org/I51314090"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049761239"],"corresponding_institution_ids":["https://openalex.org/I181343428"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.9133,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.74623299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"8","issue":"5","first_page":"136","last_page":"136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9973000288009644,"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":0.9973000288009644,"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":0.9814000129699707,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9811000227928162,"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":0.8187230825424194},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.7238519787788391},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5297473669052124},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.49899888038635254},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47687679529190063},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4459093511104584},{"id":"https://openalex.org/keywords/raster-graphics","display_name":"Raster graphics","score":0.4413774013519287},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4192768335342407},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3496355414390564},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10248926281929016},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09118080139160156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8187230825424194},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.7238519787788391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5297473669052124},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.49899888038635254},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47687679529190063},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4459093511104584},{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.4413774013519287},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4192768335342407},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3496355414390564},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10248926281929016},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09118080139160156},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/jimaging8050136","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging8050136","pdf_url":"https://www.mdpi.com/2313-433X/8/5/136/pdf?version=1652362342","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:35621900","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35621900","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:48436394780c4b8c8d5240b67f616e8b","is_oa":true,"landing_page_url":"https://doaj.org/article/48436394780c4b8c8d5240b67f616e8b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Imaging, Vol 8, Iss 5, p 136 (2022)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9147858","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9147858","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/jimaging8050136","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging8050136","pdf_url":"https://www.mdpi.com/2313-433X/8/5/136/pdf?version=1652362342","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4280569023.pdf","grobid_xml":"https://content.openalex.org/works/W4280569023.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W178661982","https://openalex.org/W655089096","https://openalex.org/W1587890082","https://openalex.org/W1591465574","https://openalex.org/W1968123990","https://openalex.org/W2043622810","https://openalex.org/W2053604034","https://openalex.org/W2088452021","https://openalex.org/W2127368507","https://openalex.org/W2139488215","https://openalex.org/W2144598126","https://openalex.org/W2403313682","https://openalex.org/W2520300089","https://openalex.org/W2595457065","https://openalex.org/W2604887361","https://openalex.org/W2607825849","https://openalex.org/W2725765016","https://openalex.org/W2765606741","https://openalex.org/W2887781372","https://openalex.org/W2939836861","https://openalex.org/W2959442326","https://openalex.org/W2960815691","https://openalex.org/W2963420691","https://openalex.org/W2985737313","https://openalex.org/W3003805658","https://openalex.org/W3012489898","https://openalex.org/W3029206846","https://openalex.org/W3088918015","https://openalex.org/W3099484189","https://openalex.org/W3108245346","https://openalex.org/W3148364978","https://openalex.org/W3194974631","https://openalex.org/W3207126084","https://openalex.org/W3215680524","https://openalex.org/W6713349298"],"related_works":["https://openalex.org/W2093392189","https://openalex.org/W2743147667","https://openalex.org/W2773877060","https://openalex.org/W1587389446","https://openalex.org/W2386874685","https://openalex.org/W2060977224","https://openalex.org/W2029462932","https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W1965226578"],"abstract_inverted_index":{"Chart":[0],"data":[1,60,119,225],"extraction":[2,61,120,226],"is":[3,84,138,166],"a":[4,58,132,143,185,200,219],"crucial":[5],"research":[6,46,54,72,105],"field":[7,75],"in":[8,18,73,167],"recovering":[9],"information":[10],"from":[11],"chart":[12,59,67,88,118,155,168,191,209],"images.":[13,192],"With":[14],"the":[15,45,49,102,108,117,122,154,163,212,229],"recent":[16],"rise":[17],"image":[19,145],"processing":[20,169],"and":[21,65,76,106,126,148,188],"computer":[22],"vision":[23],"algorithms,":[24],"researchers":[25],"presented":[26,140],"various":[27],"approaches":[28],"to":[29,44,56,107],"tackle":[30],"this":[31,53,74,130],"problem.":[32],"Nevertheless,":[33],"most":[34],"of":[35,52,110,121,153,156,162,174],"them":[36],"use":[37],"different":[38,208],"datasets,":[39],"often":[40],"not":[41],"publicly":[42],"available":[43],"community.":[47],"Therefore,":[48],"main":[50,160],"focus":[51],"was":[55],"create":[57],"algorithm":[62,137,214],"for":[63,98],"circular-shaped":[64],"grid-like":[66],"types,":[68],"which":[69],"will":[70],"accelerate":[71],"allow":[77],"uniform":[78],"result":[79],"comparison.":[80],"A":[81],"large-scale":[82],"dataset":[83,187,231],"provided":[85],"containing":[86],"120,000":[87],"images":[89,172],"organized":[90],"into":[91],"20":[92],"categories,":[93],"with":[94,184,189],"corresponding":[95],"ground":[96],"truth":[97],"each":[99],"image.":[100,158],"Through":[101],"undertaken":[103],"extensive":[104],"best":[109],"our":[111],"knowledge,":[112],"no":[113],"other":[114],"author":[115],"reports":[116],"sunburst":[123],"diagrams,":[124],"heatmaps,":[125],"waffle":[127],"charts.":[128],"In":[129],"research,":[131],"new,":[133],"fully":[134],"automatic":[135],"low-level":[136,201],"also":[139],"that":[141,157],"uses":[142],"raster":[144],"as":[146],"input":[147],"generates":[149],"an":[150],"object-oriented":[151],"structure":[152],"The":[159,180,193,222],"novelty":[161],"proposed":[164,213],"approach":[165,203],"on":[170,218,228],"binary":[171],"instead":[173],"commonly":[175],"used":[176],"pixel":[177],"counting":[178],"techniques.":[179],"experiments":[181],"were":[182],"performed":[183],"synthetic":[186,220,230],"real-world":[190],"obtained":[194],"results":[195,217],"demonstrate":[196],"two":[197],"things:":[198],"First,":[199],"bottom-up":[202],"can":[204,232],"be":[205,233],"shared":[206],"among":[207],"types.":[210],"Second,":[211],"achieves":[215],"superior":[216],"dataset.":[221],"achieved":[223],"average":[224],"accuracy":[227],"considered":[234],"state-of-the-art":[235],"within":[236],"multiple":[237],"error":[238],"rate":[239],"groups.":[240]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}