{"id":"https://openalex.org/W2754849255","doi":"https://doi.org/10.1109/icip.2017.8296897","title":"A graph-based approach for feature extraction and segmentation of multimodal images","display_name":"A graph-based approach for feature extraction and segmentation of multimodal images","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2754849255","doi":"https://doi.org/10.1109/icip.2017.8296897","mag":"2754849255"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8296897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5064785897","display_name":"Geoffrey Iyer","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Geoffrey Iyer","raw_affiliation_strings":["University of California, Los Angeles"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]},{"id":"https://openalex.org/I165368041","display_name":"University of Iceland","ror":"https://ror.org/01db6h964","country_code":"IS","type":"education","lineage":["https://openalex.org/I165368041"]},{"id":"https://openalex.org/I4210124956","display_name":"GIPSA-Lab","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR","IS","US"],"is_corresponding":false,"raw_author_name":"Jocelyn Chanussot","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, University of Iceland, Iceland","Univ. Grenoble Alpes, GIPSA-lab, Grenoble, France","University of California, Los Angeles"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, University of Iceland, Iceland","institution_ids":["https://openalex.org/I165368041"]},{"raw_affiliation_string":"Univ. Grenoble Alpes, GIPSA-lab, Grenoble, France","institution_ids":["https://openalex.org/I4210124956","https://openalex.org/I899635006"]},{"raw_affiliation_string":"University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090707978","display_name":"Andrea L. Bertozzi","orcid":"https://orcid.org/0000-0003-0396-7391"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrea L. Bertozzi","raw_affiliation_strings":["University of California, Los Angeles"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3320","last_page":"3324"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9983999729156494,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9965000152587891,"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":0.714409351348877},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6517482399940491},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.6452598571777344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6307848691940308},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6239713430404663},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5721268653869629},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5340192914009094},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5306932926177979},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.43215373158454895},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.4311944842338562},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.332856148481369},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12618497014045715},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.09294986724853516}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.714409351348877},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6517482399940491},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.6452598571777344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6307848691940308},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6239713430404663},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5721268653869629},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5340192914009094},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5306932926177979},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.43215373158454895},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.4311944842338562},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.332856148481369},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12618497014045715},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.09294986724853516}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2017.8296897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8600000143051147,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W63091017","https://openalex.org/W1580188278","https://openalex.org/W1976451084","https://openalex.org/W2006624446","https://openalex.org/W2035870350","https://openalex.org/W2086565575","https://openalex.org/W2096391593","https://openalex.org/W2101309634","https://openalex.org/W2116810533","https://openalex.org/W2132914434","https://openalex.org/W2139140682","https://openalex.org/W2146818756","https://openalex.org/W2151417892","https://openalex.org/W2158899565","https://openalex.org/W2167637346","https://openalex.org/W2169898291","https://openalex.org/W2272609660","https://openalex.org/W2402482292","https://openalex.org/W2506839541","https://openalex.org/W2513504913","https://openalex.org/W2562551209","https://openalex.org/W2792874300","https://openalex.org/W6712694631"],"related_works":["https://openalex.org/W4234886518","https://openalex.org/W2389591058","https://openalex.org/W3211385606","https://openalex.org/W2109407305","https://openalex.org/W2032319136","https://openalex.org/W2897997384","https://openalex.org/W2088651901","https://openalex.org/W1544828638","https://openalex.org/W2086619084","https://openalex.org/W2000036183"],"abstract_inverted_index":{"In":[0,23],"the":[1,53,57,73,85,96,99],"past":[2],"few":[3],"years,":[4],"graph-based":[5,29],"methods":[6],"have":[7],"proven":[8],"to":[9,66],"be":[10],"a":[11,15,28,41,81],"useful":[12],"tool":[13],"in":[14,80],"wide":[16],"variety":[17],"of":[18,36,43,87,98],"energy":[19],"minimization":[20],"problems":[21],"[1].":[22],"this":[24,78],"paper,":[25],"we":[26,51],"propose":[27],"algorithm":[30],"for":[31],"feature":[32,68],"extraction":[33,69],"and":[34,70,89],"segmentation":[35,71,86],"multimodal":[37],"images.":[38,91],"By":[39],"defining":[40],"notion":[42],"similarity":[44],"that":[45],"integrates":[46],"information":[47],"from":[48],"each":[49],"modality,":[50],"merge":[52],"different":[54],"sources":[55],"at":[56],"data":[58],"level.":[59],"The":[60,92],"graph":[61],"Laplacian":[62],"then":[63],"allows":[64],"us":[65],"perform":[67],"on":[72],"fused":[74],"dataset.":[75],"We":[76],"apply":[77],"method":[79],"practical":[82],"example,":[83],"namely":[84],"optical":[88],"lidar":[90],"results":[93],"obtained":[94],"confirm":[95],"potential":[97],"proposed":[100],"method.":[101]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}