{"id":"https://openalex.org/W2801783281","doi":"https://doi.org/10.1109/tpami.2018.2827939","title":"A Graph Based Image Interpretation Method Using A Priori Qualitative Inclusion and Photometric Relationships","display_name":"A Graph Based Image Interpretation Method Using A Priori Qualitative Inclusion and Photometric Relationships","publication_year":2018,"publication_date":"2018-04-17","ids":{"openalex":"https://openalex.org/W2801783281","doi":"https://doi.org/10.1109/tpami.2018.2827939","mag":"2801783281","pmid":"https://pubmed.ncbi.nlm.nih.gov/29993626"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2018.2827939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2018.2827939","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5053520474","display_name":"Jean-Baptiste Fasquel","orcid":"https://orcid.org/0000-0001-9183-0365"},"institutions":[{"id":"https://openalex.org/I4210115445","display_name":"Laboratoire Angevin de Recherche en Math\u00e9matiques","ror":"https://ror.org/036j0y719","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210115445","https://openalex.org/I4210141950","https://openalex.org/I49451733"]},{"id":"https://openalex.org/I49451733","display_name":"Universit\u00e9 d'Angers","ror":"https://ror.org/04yrqp957","country_code":"FR","type":"education","lineage":["https://openalex.org/I49451733"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Baptiste Fasquel","raw_affiliation_strings":["LARIS laboratory, EA4094, University of Angers, Angers, France","LARIS - Laboratoire Angevin de Recherche en Ing\u00e9nierie des Syst\u00e8mes (Universit\u00e9 d'Angers, LARIS | Polytech Angers, 62 Avenue Notre Dame du Lac - 49000 Angers - France)"],"raw_orcid":"https://orcid.org/0000-0001-9183-0365","affiliations":[{"raw_affiliation_string":"LARIS laboratory, EA4094, University of Angers, Angers, France","institution_ids":["https://openalex.org/I49451733"]},{"raw_affiliation_string":"LARIS - Laboratoire Angevin de Recherche en Ing\u00e9nierie des Syst\u00e8mes (Universit\u00e9 d'Angers, LARIS | Polytech Angers, 62 Avenue Notre Dame du Lac - 49000 Angers - France)","institution_ids":["https://openalex.org/I4210115445","https://openalex.org/I49451733"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063029774","display_name":"Nicolas Delanoue","orcid":"https://orcid.org/0000-0001-6927-6281"},"institutions":[{"id":"https://openalex.org/I4210115445","display_name":"Laboratoire Angevin de Recherche en Math\u00e9matiques","ror":"https://ror.org/036j0y719","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210115445","https://openalex.org/I4210141950","https://openalex.org/I49451733"]},{"id":"https://openalex.org/I49451733","display_name":"Universit\u00e9 d'Angers","ror":"https://ror.org/04yrqp957","country_code":"FR","type":"education","lineage":["https://openalex.org/I49451733"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Delanoue","raw_affiliation_strings":["LARIS laboratory, EA4094, University of Angers, Angers, France","LARIS - Laboratoire Angevin de Recherche en Ing\u00e9nierie des Syst\u00e8mes (Universit\u00e9 d'Angers, LARIS | Polytech Angers, 62 Avenue Notre Dame du Lac - 49000 Angers - France)"],"raw_orcid":"https://orcid.org/0000-0001-6927-6281","affiliations":[{"raw_affiliation_string":"LARIS laboratory, EA4094, University of Angers, Angers, France","institution_ids":["https://openalex.org/I49451733"]},{"raw_affiliation_string":"LARIS - Laboratoire Angevin de Recherche en Ing\u00e9nierie des Syst\u00e8mes (Universit\u00e9 d'Angers, LARIS | Polytech Angers, 62 Avenue Notre Dame du Lac - 49000 Angers - France)","institution_ids":["https://openalex.org/I4210115445","https://openalex.org/I49451733"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5202,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.69960751,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"41","issue":"5","first_page":"1043","last_page":"1055"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9994000196456909,"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":0.9976000189781189,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.659608781337738},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6326982378959656},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6069319248199463},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.5413063168525696},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4983975887298584},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47986453771591187},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4371264576911926},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4235716462135315},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4082205593585968},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17354106903076172}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.659608781337738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6326982378959656},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6069319248199463},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.5413063168525696},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4983975887298584},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47986453771591187},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4371264576911926},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4235716462135315},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4082205593585968},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17354106903076172},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2018.2827939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2018.2827939","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:29993626","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29993626","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 pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:HAL:hal-02528725v1","is_oa":false,"landing_page_url":"https://univ-angers.hal.science/hal-02528725","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://ieeexplore.ieee.org/document/8340174/","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1508404128","https://openalex.org/W1590564964","https://openalex.org/W1977342401","https://openalex.org/W1977663661","https://openalex.org/W1983681808","https://openalex.org/W2015030843","https://openalex.org/W2022518651","https://openalex.org/W2055224458","https://openalex.org/W2062230951","https://openalex.org/W2065737882","https://openalex.org/W2067191022","https://openalex.org/W2071469153","https://openalex.org/W2097167419","https://openalex.org/W2109294083","https://openalex.org/W2112973039","https://openalex.org/W2121490093","https://openalex.org/W2121927366","https://openalex.org/W2147405597","https://openalex.org/W2151885493","https://openalex.org/W2163872389","https://openalex.org/W2345549417","https://openalex.org/W2395850800"],"related_works":["https://openalex.org/W4313320911","https://openalex.org/W4327743144","https://openalex.org/W4245077728","https://openalex.org/W4388311650","https://openalex.org/W5922282","https://openalex.org/W2607424049","https://openalex.org/W4390922876","https://openalex.org/W1974056099","https://openalex.org/W3183204001","https://openalex.org/W4206302830"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,36,81,102,128,164,169,173,182],"method":[4,77,137,160,188],"for":[5,92],"recovering":[6],"and":[7,28,40,68,101,133,144,179],"identifying":[8],"image":[9],"regions":[10,100,105,114],"from":[11,107],"an":[12],"initial":[13,109],"oversegmentation":[14,149],"using":[15],"qualitative":[16,38,174],"knowledge":[17],"of":[18,54,62,104,135,158],"its":[19],"content.":[20],"Compared":[21],"to":[22,161],"recent":[23],"works":[24],"favoring":[25],"spatial":[26],"information":[27],"quantitative":[29],"techniques,":[30],"our":[31],"approach":[32],"focuses":[33],"on":[34,80,140],"simple":[35],"priori":[37,129,170],"inclusion":[39],"photometric":[41],"relationships":[42],"such":[43],"as":[44],"\"region":[45],"A":[46,56,67],"is":[47,57,78,189],"included":[48],"in":[49,163,172],"region":[50,55,63],"B\",":[51],"\"the":[52],"intensity":[53],"lower":[58],"than":[59],"the":[60,93,108,125,136,156,159,187,193],"one":[61],"B\"":[64],"or":[65],"\"regions":[66],"B":[69],"depict":[70],"similar":[71],"intensities\"":[72],"(photometric":[73],"uncertainty).":[74],"The":[75,88],"proposed":[76],"based":[79],"two":[82],"steps'":[83],"inexact":[84],"graph":[85],"matching":[86],"approach.":[87],"first":[89],"step":[90],"searches":[91],"best":[94],"subgraph":[95],"isomorphism":[96],"candidate":[97],"between":[98],"expected":[99,167],"subset":[103],"resulting":[106],"oversegmentation.":[110],"Then,":[111],"remaining":[112],"segmented":[113],"are":[115,138],"progressively":[116],"merged":[117],"with":[118,127,146,192],"appropriate":[119],"already":[120],"matched":[121],"regions,":[122,168],"while":[123],"preserving":[124],"coherence":[126],"declared":[130],"relationships.":[131],"Strengths":[132],"weaknesses":[134],"studied":[139],"various":[141,147],"images":[142],"(grayscale":[143],"color),":[145],"intial":[148],"algorithms":[150],"(k-means,":[151],"meanshift,":[152],"quickshift).":[153],"Results":[154],"show":[155],"potential":[157],"recover,":[162],"reasonable":[165],"runtime,":[166],"described":[171],"manner.":[175],"For":[176],"further":[177],"evaluation":[178],"comparison":[180],"purposes,":[181],"Python":[183],"opensource":[184],"package":[185],"implementing":[186],"provided,":[190],"together":[191],"specifically":[194],"built":[195],"experimental":[196],"database.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
