{"id":"https://openalex.org/W2061773921","doi":"https://doi.org/10.1109/icip.2014.7025595","title":"Image adapted total ordering for mathematical morphology on multivariate images","display_name":"Image adapted total ordering for mathematical morphology on multivariate images","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2061773921","doi":"https://doi.org/10.1109/icip.2014.7025595","mag":"2061773921"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025595","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025595","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 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/A5059574332","display_name":"Emmanuel Chevallier","orcid":null},"institutions":[{"id":"https://openalex.org/I70768539","display_name":"\u00c9cole Nationale Sup\u00e9rieure des Mines de Paris","ror":"https://ror.org/04y8cs423","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I70768539"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Emmanuel Chevallier","raw_affiliation_strings":["MINES Paris'Tech, CMM-Centre de Morphologie Math\u00e9matique, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MINES Paris'Tech, CMM-Centre de Morphologie Math\u00e9matique, France","institution_ids":["https://openalex.org/I70768539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067475182","display_name":"Jes\u00fas Angulo","orcid":"https://orcid.org/0000-0001-7250-5639"},"institutions":[{"id":"https://openalex.org/I70768539","display_name":"\u00c9cole Nationale Sup\u00e9rieure des Mines de Paris","ror":"https://ror.org/04y8cs423","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I70768539"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jesus Angulo","raw_affiliation_strings":["MINES Paris'Tech, CMM-Centre de Morphologie Math\u00e9matique, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MINES Paris'Tech, CMM-Centre de Morphologie Math\u00e9matique, France","institution_ids":["https://openalex.org/I70768539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I70768539"],"apc_list":null,"apc_paid":null,"fwci":0.7192,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.7582003,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2943","last_page":"2947"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9847000241279602,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9847000241279602,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9708999991416931,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9707000255584717,"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/mathematical-morphology","display_name":"Mathematical morphology","score":0.8530117273330688},{"id":"https://openalex.org/keywords/morphology","display_name":"Morphology (biology)","score":0.7081258296966553},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6978349685668945},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5430701375007629},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.532824695110321},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4193156361579895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3999626934528351},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39201629161834717},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3315199017524719},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15797460079193115},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12835893034934998}],"concepts":[{"id":"https://openalex.org/C185568154","wikidata":"https://www.wikidata.org/wiki/Q530242","display_name":"Mathematical morphology","level":4,"score":0.8530117273330688},{"id":"https://openalex.org/C499950583","wikidata":"https://www.wikidata.org/wiki/Q183252","display_name":"Morphology (biology)","level":2,"score":0.7081258296966553},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6978349685668945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5430701375007629},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.532824695110321},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4193156361579895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3999626934528351},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39201629161834717},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3315199017524719},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15797460079193115},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12835893034934998},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7025595","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025595","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W192642361","https://openalex.org/W1479958533","https://openalex.org/W1561442812","https://openalex.org/W1593939129","https://openalex.org/W1598345887","https://openalex.org/W1990073712","https://openalex.org/W1990209870","https://openalex.org/W2025859578","https://openalex.org/W2074427554","https://openalex.org/W2109853861","https://openalex.org/W2116145986","https://openalex.org/W2164741953","https://openalex.org/W2170949105","https://openalex.org/W2184563774","https://openalex.org/W2461090383","https://openalex.org/W2747738563","https://openalex.org/W2769043187","https://openalex.org/W2769954494","https://openalex.org/W4240774490","https://openalex.org/W6718901096"],"related_works":["https://openalex.org/W2357143406","https://openalex.org/W2349459011","https://openalex.org/W2378070670","https://openalex.org/W2429125578","https://openalex.org/W2382904344","https://openalex.org/W2058740282","https://openalex.org/W2461976178","https://openalex.org/W2375111338","https://openalex.org/W2220864757","https://openalex.org/W2352304637"],"abstract_inverted_index":{"In":[0],"this":[1,52],"paper,":[2],"we":[3],"discuss":[4],"the":[5,15,71,77,80,92],"problem":[6],"of":[7,31,70,91],"total":[8,32],"ordering":[9],"for":[10],"mathematical":[11,39],"morphology.":[12],"We":[13,54],"restrain":[14],"study":[16],"to":[17,59,75,79,88],"color":[18,93],"images,":[19],"but":[20,41],"results":[21,96],"are":[22,97],"valid":[23],"in":[24,38,51],"any":[25],"metric":[26],"space.":[27,94],"The":[28,67,83],"discontinuities":[29,61],"issue":[30],"orders":[33],"has":[34],"already":[35],"been":[36],"evoked":[37],"morphology,":[40],"remains":[42],"rarely":[43],"studied.":[44],"This":[45],"phenomenon":[46],"is":[47,74],"highlighted":[48],"and":[49],"formalised":[50],"paper.":[53],"propose":[55],"a":[56,64],"new":[57],"approach":[58],"avoid":[60],"based":[62],"on":[63],"recursive":[65],"algorithm.":[66],"key":[68],"point":[69],"proposed":[72,84],"method":[73],"adapt":[76],"order":[78],"studied":[81],"image.":[82],"framework":[85],"presents":[86],"invariance":[87],"isometric":[89],"transformations":[90],"Promising":[95],"presented.":[98]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}