{"id":"https://openalex.org/W2951241792","doi":"https://doi.org/10.1109/tip.2019.2921526","title":"Chord Bunch Walks for Recognizing Naturally Self-Overlapped and Compound Leaves","display_name":"Chord Bunch Walks for Recognizing Naturally Self-Overlapped and Compound Leaves","publication_year":2019,"publication_date":"2019-06-12","ids":{"openalex":"https://openalex.org/W2951241792","doi":"https://doi.org/10.1109/tip.2019.2921526","mag":"2951241792","pmid":"https://pubmed.ncbi.nlm.nih.gov/31199259"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2921526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2921526","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10072/389520","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101805939","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0002-9730-374X"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":["Griffith School of Engineering, Griffith University, Nathan, QLD, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Griffith School of Engineering, Griffith University, Nathan, QLD, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071549690","display_name":"Yongsheng Gao","orcid":"https://orcid.org/0000-0002-5382-5351"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yongsheng Gao","raw_affiliation_strings":["Griffith School of Engineering, Griffith University, Nathan, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0002-5382-5351","affiliations":[{"raw_affiliation_string":"Griffith School of Engineering, Griffith University, Nathan, QLD, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041589060","display_name":"Changming Sun","orcid":"https://orcid.org/0000-0001-5943-1989"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Changming Sun","raw_affiliation_strings":["CSIRO Data61, Epping, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-5943-1989","affiliations":[{"raw_affiliation_string":"CSIRO Data61, Epping, NSW, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045600512","display_name":"Michael Blumenstein","orcid":"https://orcid.org/0000-0002-9908-3744"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Michael Blumenstein","raw_affiliation_strings":["Faculty of Engineering and IT, University of Technology, Sydney, Ultimo, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-9908-3744","affiliations":[{"raw_affiliation_string":"Faculty of Engineering and IT, University of Technology, Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103112658","display_name":"John La Salle","orcid":"https://orcid.org/0000-0002-8816-9569"},"institutions":[{"id":"https://openalex.org/I4210141271","display_name":"National Computational Infrastructure","ror":"https://ror.org/04yx6dh41","country_code":"AU","type":"facility","lineage":["https://openalex.org/I4210141271"]},{"id":"https://openalex.org/I4210158368","display_name":"Australian National Wildlife Collection","ror":"https://ror.org/059mabc80","country_code":"AU","type":"archive","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4210158368","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"John La Salle","raw_affiliation_strings":["CSIRO National Collections and Marine Infrastructure, Canberra, ACT, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSIRO National Collections and Marine Infrastructure, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I4210141271","https://openalex.org/I4210158368"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4604,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.89500091,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"28","issue":"12","first_page":"5963","last_page":"5976"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9807999730110168,"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/chord","display_name":"Chord (peer-to-peer)","score":0.7658746242523193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5966824293136597},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5655407905578613},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5025298595428467},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.49790453910827637},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4813843071460724},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44902005791664124},{"id":"https://openalex.org/keywords/scale-invariance","display_name":"Scale invariance","score":0.4275393486022949},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.42295798659324646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.388660192489624},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35887402296066284},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.21343576908111572}],"concepts":[{"id":"https://openalex.org/C194147245","wikidata":"https://www.wikidata.org/wiki/Q1076368","display_name":"Chord (peer-to-peer)","level":2,"score":0.7658746242523193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5966824293136597},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5655407905578613},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5025298595428467},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.49790453910827637},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4813843071460724},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44902005791664124},{"id":"https://openalex.org/C135593079","wikidata":"https://www.wikidata.org/wiki/Q1750766","display_name":"Scale invariance","level":2,"score":0.4275393486022949},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.42295798659324646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.388660192489624},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35887402296066284},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.21343576908111572},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tip.2019.2921526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2921526","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"mag:31199259","is_oa":false,"landing_page_url":"https://dialnet.unirioja.es/servlet/articulo?codigo=3635094","pdf_url":null,"source":{"id":"https://openalex.org/S4306528568","display_name":"Ritmo","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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ritmo","raw_type":null},{"id":"pmid:31199259","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31199259","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":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/389520","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/389520","pdf_url":"http://hdl.handle.net/10072/389520","source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"}],"best_oa_location":{"id":"pmh:oai:research-repository.griffith.edu.au:10072/389520","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/389520","pdf_url":"http://hdl.handle.net/10072/389520","source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G1111776416","display_name":"Intelligent Image Retrieval from Distorted and Partial Queries for Rapid Mobile Identification of Pests Threatening Food and the Environment","funder_award_id":"DP140101075","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2951241792.pdf","grobid_xml":"https://content.openalex.org/works/W2951241792.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1532325895","https://openalex.org/W1622032990","https://openalex.org/W1817748893","https://openalex.org/W1968596169","https://openalex.org/W1968896562","https://openalex.org/W1976746818","https://openalex.org/W1976814955","https://openalex.org/W1986266061","https://openalex.org/W1989443316","https://openalex.org/W1990492213","https://openalex.org/W2004084358","https://openalex.org/W2008104685","https://openalex.org/W2021512179","https://openalex.org/W2029785729","https://openalex.org/W2029978744","https://openalex.org/W2055237367","https://openalex.org/W2057175746","https://openalex.org/W2057627153","https://openalex.org/W2059245310","https://openalex.org/W2060287676","https://openalex.org/W2064653431","https://openalex.org/W2067946238","https://openalex.org/W2081072138","https://openalex.org/W2086208339","https://openalex.org/W2095999100","https://openalex.org/W2096038174","https://openalex.org/W2098269318","https://openalex.org/W2100689562","https://openalex.org/W2105709603","https://openalex.org/W2106137471","https://openalex.org/W2107105977","https://openalex.org/W2111093365","https://openalex.org/W2111942273","https://openalex.org/W2114516315","https://openalex.org/W2118376687","https://openalex.org/W2120911695","https://openalex.org/W2122827492","https://openalex.org/W2132388127","https://openalex.org/W2143357187","https://openalex.org/W2148659553","https://openalex.org/W2151532744","https://openalex.org/W2152106040","https://openalex.org/W2156132450","https://openalex.org/W2160952140","https://openalex.org/W2165414070","https://openalex.org/W2169013230","https://openalex.org/W2176949197","https://openalex.org/W2213241010","https://openalex.org/W2746033354","https://openalex.org/W2888253957","https://openalex.org/W4213009331","https://openalex.org/W6644298915"],"related_works":["https://openalex.org/W2351864507","https://openalex.org/W3159818711","https://openalex.org/W3215212221","https://openalex.org/W4287391995","https://openalex.org/W4302358528","https://openalex.org/W2000835246","https://openalex.org/W3106532020","https://openalex.org/W2097033632","https://openalex.org/W2021783512","https://openalex.org/W2021670453"],"abstract_inverted_index":{"Effectively":[0],"describing":[1,27],"and":[2,32,75,150,166,183],"recognizing":[3],"leaf":[4,28,113],"shapes":[5,29],"under":[6],"arbitrary":[7],"variations,":[8],"particularly":[9],"from":[10],"a":[11,23,35,96,100,127,139],"large":[12,190,199],"database,":[13],"remains":[14],"an":[15],"unsolved":[16],"problem.":[17],"In":[18],"this":[19,216],"research,":[20],"we":[21],"attempted":[22],"new":[24],"strategy":[25],"of":[26,37,79,92,121,133,174,179,185],"by":[30],"walking":[31,56],"measuring":[33],"along":[34,215],"bunch":[36,47,88],"chords":[38,93],"that":[39,58,103,142],"pass":[40],"through":[41,53],"the":[42,54,61,66,72,76,80,86,109,118,122,207,212],"shape.":[43,81],"A":[44],"novel":[45],"chord":[46,55,68,87],"walks":[48],"(CBW)":[49],"descriptor":[50],"is":[51,146,160],"developed":[52],"behavior":[57],"effectively":[59,105],"integrates":[60],"shape":[62,123,157],"image":[63,172,177],"function":[64],"over":[65,206],"walked":[67],"to":[69,94,162],"reflect":[70],"both":[71],"contour":[73,84,124],"features":[74],"inner":[77],"properties":[78],"For":[82],"each":[83],"point,":[85],"groups":[89],"multiple":[90],"pairs":[91],"build":[95],"hierarchical":[97],"framework":[98],"for":[99,148],"coarse-to-fine":[101],"description":[102],"can":[104],"characterize":[106],"not":[107],"only":[108],"subtle":[110],"differences":[111],"among":[112],"margin":[114],"patterns":[115],"but":[116],"also":[117],"interior":[119],"part":[120],"formed":[125],"inside":[126],"self-overlapped":[128,181],"or":[129],"compound":[130,175],"leaf.":[131],"Instead":[132],"using":[134],"optimal":[135],"correspondence":[136],"based":[137],"matching,":[138],"Log-Min":[140],"distance":[141],"encourages":[143],"one-to-one":[144],"correspondences":[145],"proposed":[147,155,196],"efficient":[149],"effective":[151],"CBW":[152,156],"matching.":[153],"The":[154,195],"analysis":[158],"method":[159,197],"invariant":[161],"rotation,":[163],"scaling,":[164],"translation,":[165],"mirror":[167],"transforms.":[168],"Five":[169],"experiments,":[170],"including":[171],"retrieval":[173,178,184],"leaves,":[176,182],"naturally":[180],"mixed":[186],"leaves":[187],"on":[188],"three":[189],"scale":[191],"datasets,":[192],"are":[193],"conducted.":[194],"achieved":[198],"accuracy":[200],"increases":[201],"with":[202],"low":[203],"computational":[204],"costs":[205],"state-of-the-art":[208],"benchmarks,":[209],"which":[210],"indicates":[211],"research":[213],"potential":[214],"direction.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":8},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-06-27T00:00:00"}