{"id":"https://openalex.org/W3016629658","doi":"https://doi.org/10.1109/sitis.2019.00021","title":"Enhanced Morphological Filtering for Wavelet-Based Changepoint Detection","display_name":"Enhanced Morphological Filtering for Wavelet-Based Changepoint Detection","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3016629658","doi":"https://doi.org/10.1109/sitis.2019.00021","mag":"3016629658"},"language":"en","primary_location":{"id":"doi:10.1109/sitis.2019.00021","doi":"https://doi.org/10.1109/sitis.2019.00021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sitis.2019.00021","pdf_url":null,"source":{"id":"https://openalex.org/S7407086320","display_name":"International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5081574802","display_name":"Mattia Stasolla","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I150517870","display_name":"Royal Military Academy","ror":"https://ror.org/02vmnye06","country_code":"BE","type":"education","lineage":["https://openalex.org/I150517870"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Mattia Stasolla","raw_affiliation_strings":["Signal and Image Center, Royal Military Academy, Brussels, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal and Image Center, Royal Military Academy, Brussels, Belgium","institution_ids":["https://openalex.org/I150517870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086623349","display_name":"Xavier Neyt","orcid":"https://orcid.org/0000-0002-8992-3877","observed_orcids":["https://orcid.org/0000-0002-8992-3877"]},"institutions":[{"id":"https://openalex.org/I150517870","display_name":"Royal Military Academy","ror":"https://ror.org/02vmnye06","country_code":"BE","type":"education","lineage":["https://openalex.org/I150517870"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Xavier Neyt","raw_affiliation_strings":["Signal and Image Center, Royal Military Academy, Brussels, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal and Image Center, Royal Military Academy, Brussels, Belgium","institution_ids":["https://openalex.org/I150517870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150517870"],"apc_list":null,"apc_paid":null,"fwci":0.6737,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.59936909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"56","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.8330000042915344,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.8330000042915344,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.04430000111460686,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.043299999088048935,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/change-point-detection","display_name":"change point detection","score":0.9700000286102295},{"id":"https://openalex.org/keywords/mean-shift-detection","display_name":"mean shift detection","score":0.6759999990463257},{"id":"https://openalex.org/keywords/wavelet-analysis","display_name":"wavelet analysis","score":0.5920000076293945},{"id":"https://openalex.org/keywords/mathematical-morphology","display_name":"mathematical morphology","score":0.9890000224113464},{"id":"https://openalex.org/keywords/time-series-analysis","display_name":"time series analysis","score":0.6470000147819519},{"id":"https://openalex.org/keywords/multiscale-analysis","display_name":"multiscale analysis","score":0.9210000038146973},{"id":"https://openalex.org/keywords/noise-robustness","display_name":"noise robustness","score":0.8539999723434448},{"id":"https://openalex.org/keywords/morphological-filtering","display_name":"morphological filtering","score":0.6589999794960022}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.8269492387771606},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7903066277503967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7209234833717346},{"id":"https://openalex.org/C185568154","wikidata":"https://www.wikidata.org/wiki/Q530242","display_name":"Mathematical morphology","level":4,"score":0.7035464644432068},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5749388337135315},{"id":"https://openalex.org/C121927907","wikidata":"https://www.wikidata.org/wiki/Q1952516","display_name":"Multiresolution analysis","level":5,"score":0.4834826588630676},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.46226704120635986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44764775037765503},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43621155619621277},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3991534411907196},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.32249516248703003},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.21230041980743408},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08407899737358093},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sitis.2019.00021","doi":"https://doi.org/10.1109/sitis.2019.00021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sitis.2019.00021","pdf_url":null,"source":{"id":"https://openalex.org/S7407086320","display_name":"International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W228380312","https://openalex.org/W1561442812","https://openalex.org/W1983838190","https://openalex.org/W2012290856","https://openalex.org/W2038869097","https://openalex.org/W2078559879","https://openalex.org/W2086758755","https://openalex.org/W2098277968","https://openalex.org/W2158940042","https://openalex.org/W2515822248","https://openalex.org/W2591933621","https://openalex.org/W2782242894","https://openalex.org/W2787372966","https://openalex.org/W3105334025","https://openalex.org/W4292003313"],"related_works":["https://openalex.org/W2787372966","https://openalex.org/W2056060766","https://openalex.org/W1935360900","https://openalex.org/W7100489133","https://openalex.org/W6884599470","https://openalex.org/W2121273890","https://openalex.org/W2285959334","https://openalex.org/W2124229723","https://openalex.org/W2327554423","https://openalex.org/W2382669197"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,20,23,47,75,95],"new":[4],"method":[5,90],"for":[6,30,50],"the":[7,27,31,34,38,51,71,84,89],"detection":[8],"of":[9,36,42,53,88],"abrupt":[10],"changes":[11],"(i.e.":[12],"mean":[13],"shifts)":[14],"in":[15,67],"time":[16],"series.":[17],"It":[18],"is":[19],"follow-up":[21],"to":[22,69,82,91],"previous":[24],"article":[25],"by":[26],"authors":[28],"where,":[29],"first":[32],"time,":[33],"possibility":[35],"combining":[37],"multi-scale":[39],"analysis":[40,52],"capabilities":[41],"wavelets":[43],"with":[44,97],"mathematical":[45],"morphology,":[46],"theoretical":[48],"framework":[49],"spatial":[54],"structures,":[55],"had":[56],"been":[57,63,79],"explored.":[58],"The":[59],"processing":[60],"chain":[61],"has":[62,78],"revised":[64],"and":[65,74,86],"enhanced":[66],"order":[68],"improve":[70],"overall":[72],"results,":[73],"performance":[76],"assessment":[77],"carried":[80],"out":[81],"evaluate":[83],"accuracy":[85],"robustness":[87],"noise,":[92],"also":[93],"providing":[94],"comparison":[96],"its":[98],"original":[99],"implementation.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2020-04-24T00:00:00"}