{"id":"https://openalex.org/W2040224765","doi":"https://doi.org/10.1109/isbi.2014.6868102","title":"&amp;#x03B1; scale spaces filters for phase based edge detection in ultrasound images","display_name":"&amp;#x03B1; scale spaces filters for phase based edge detection in ultrasound images","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2040224765","doi":"https://doi.org/10.1109/isbi.2014.6868102","mag":"2040224765"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2014.6868102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6868102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","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/A5075468902","display_name":"Ahror Belaid","orcid":"https://orcid.org/0000-0001-7551-6069"},"institutions":[{"id":"https://openalex.org/I187560010","display_name":"University of B\u00e9ja\u00efa","ror":"https://ror.org/03yb2hp88","country_code":"DZ","type":"education","lineage":["https://openalex.org/I187560010"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Ahror Belaid","raw_affiliation_strings":["Universit\u00e9 Abderrahmane Mira de B\u00e9ja\u00efa, Laboratoire d'Informatique M\u00e9dicale (LIMED), B\u00e9ja\u00efa, Algr\u00e9ie","Universit\u00e9 Abderrahmane Mira de B\u00e9j\u00e4\u0131a, Laboratoire d'Informatique M\u00e9dicale (LIMED), 06000, B\u00e9j\u00e4\u0131a, Algr\u00e9ie"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Abderrahmane Mira de B\u00e9ja\u00efa, Laboratoire d'Informatique M\u00e9dicale (LIMED), B\u00e9ja\u00efa, Algr\u00e9ie","institution_ids":["https://openalex.org/I187560010"]},{"raw_affiliation_string":"Universit\u00e9 Abderrahmane Mira de B\u00e9j\u00e4\u0131a, Laboratoire d'Informatique M\u00e9dicale (LIMED), 06000, B\u00e9j\u00e4\u0131a, Algr\u00e9ie","institution_ids":["https://openalex.org/I187560010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050327045","display_name":"Djamal Boukerroui","orcid":"https://orcid.org/0000-0002-2714-1116"},"institutions":[{"id":"https://openalex.org/I102516824","display_name":"Universit\u00e9 de Technologie de Compi\u00e8gne","ror":"https://ror.org/04y5kwa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I102516824"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Djamal Boukerroui","raw_affiliation_strings":["Universit\u00e9 de Technologie de Compi\u00e8gne, CNRS, Heudiasyc UMR 7253 BP 20529, Compi\u00e8gne Cedex, France","Universit\u00e9 de Technologie de Compi\u00e8gne \u2013 CNRS, Heudiasyc UMR 7253, BP 20529, 60205 COMPI\u00c8GNE CEDEX, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Technologie de Compi\u00e8gne, CNRS, Heudiasyc UMR 7253 BP 20529, Compi\u00e8gne Cedex, France","institution_ids":["https://openalex.org/I102516824","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Universit\u00e9 de Technologie de Compi\u00e8gne \u2013 CNRS, Heudiasyc UMR 7253, BP 20529, 60205 COMPI\u00c8GNE CEDEX, France","institution_ids":["https://openalex.org/I102516824","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1247","last_page":"1250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9973999857902527,"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/speckle-noise","display_name":"Speckle noise","score":0.6311883330345154},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.5992018580436707},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5911425352096558},{"id":"https://openalex.org/keywords/scale-space","display_name":"Scale space","score":0.5598402619361877},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5444747805595398},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5055813789367676},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4984853267669678},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.46065422892570496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4554455280303955},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4391151964664459},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4185000956058502},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4166983664035797},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3538297414779663},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3152616620063782},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2894021272659302},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17465978860855103}],"concepts":[{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.6311883330345154},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.5992018580436707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5911425352096558},{"id":"https://openalex.org/C99102927","wikidata":"https://www.wikidata.org/wiki/Q3058184","display_name":"Scale space","level":4,"score":0.5598402619361877},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5444747805595398},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5055813789367676},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4984853267669678},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.46065422892570496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4554455280303955},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4391151964664459},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4185000956058502},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4166983664035797},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3538297414779663},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3152616620063782},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2894021272659302},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17465978860855103},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2014.6868102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6868102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1529882326","https://openalex.org/W1548183305","https://openalex.org/W1962010357","https://openalex.org/W2002260191","https://openalex.org/W2006908933","https://openalex.org/W2020898814","https://openalex.org/W2061061585","https://openalex.org/W2072593457","https://openalex.org/W2076898815","https://openalex.org/W2110158442","https://openalex.org/W2119249988","https://openalex.org/W2143581454","https://openalex.org/W2158280940","https://openalex.org/W2164739266","https://openalex.org/W6632729964","https://openalex.org/W6640974819"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2055824452","https://openalex.org/W2121688719","https://openalex.org/W2727313114","https://openalex.org/W2016481886","https://openalex.org/W4241911733"],"abstract_inverted_index":{"An":[0],"inherent":[1],"characteristic":[2],"of":[3,12,47,56,66,75,103,115],"coherent":[4],"imaging,":[5,8],"including":[6,88],"ultrasound":[7,116],"is":[9],"the":[10,44,48,89,95,98,123],"presence":[11],"speckle":[13],"noise":[14],"with":[15],"strong":[16],"inhomogeneities.":[17],"It":[18],"makes":[19],"modelling":[20],"difficult":[21],"and":[22,97,109],"therefore":[23],"it":[24,29],"complicates":[25],"their":[26],"processing.":[27,59],"However,":[28],"has":[30],"been":[31],"previously":[32],"shown":[33,119],"that":[34],"these":[35],"images":[36,117],"respond":[37],"well":[38],"to":[39,71,82,120],"local":[40],"phase-based":[41,57],"methods.":[42],"Furthermore,":[43],"recent":[45],"re-emergence":[46],"\u03b1":[49,85],"scale":[50],"spaces":[51],"theory":[52],"opens":[53],"new":[54,68,73],"possibilities":[55],"image":[58],"In":[60],"this":[61,67],"paper,":[62],"we":[63],"make":[64],"use":[65],"unified":[69],"representation":[70],"derive":[72],"families":[74,92],"bandpass":[76],"quadrature":[77],"filters.":[78],"This":[79],"construction":[80],"leads":[81],"a":[83],"generalised":[84],"kernel":[86],"filters":[87,125],"commonly":[90],"known":[91],"derived":[93],"from":[94],"Gaussian":[96],"Poisson":[99],"kernels.":[100],"The":[101],"properties":[102],"each":[104],"family":[105],"are":[106,118],"first":[107],"presented":[108],"then,":[110],"experiments":[111],"on":[112],"realistic":[113],"simulations":[114],"demonstrate":[121],"how":[122],"suggested":[124],"can":[126],"be":[127],"used":[128],"for":[129],"edge":[130],"detection.":[131]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
