{"id":"https://openalex.org/W3088021694","doi":"https://doi.org/10.2352/issn.2470-1173.2020.10.ipas-062","title":"An active contour model for medical image segmentation using a quaternion framework","display_name":"An active contour model for medical image segmentation using a quaternion framework","publication_year":2020,"publication_date":"2020-01-26","ids":{"openalex":"https://openalex.org/W3088021694","doi":"https://doi.org/10.2352/issn.2470-1173.2020.10.ipas-062","mag":"3088021694"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2020.10.ipas-062","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2020.10.ipas-062","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"type":"article","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/A5076403380","display_name":"Viacheslav Voronin","orcid":"https://orcid.org/0000-0001-8114-6383"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V. Voronin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048966823","display_name":"Marina Zhdanova","orcid":"https://orcid.org/0000-0003-1119-5221"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Zhdanova","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059103390","display_name":"Evgeny A. Semenishchev","orcid":"https://orcid.org/0000-0001-9817-0021"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"E. Semenishchev","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110672012","display_name":"Aleksandr Zelensky","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. Zelensky","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5048285657","display_name":"Sos \u0421. Agaian","orcid":"https://orcid.org/0000-0003-4601-4507"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Agaian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.10127122,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"32","issue":"10","first_page":"62","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9988999962806702,"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":0.9988999962806702,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9979000091552734,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6581729650497437},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.5715410113334656},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5570204257965088},{"id":"https://openalex.org/keywords/quaternion","display_name":"Quaternion","score":0.5556730628013611},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5082108974456787},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4699682891368866},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.4504658579826355},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4486444592475891},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4136284291744232},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39142072200775146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37344127893447876},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3241543769836426},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2908095717430115},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0781714916229248}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6581729650497437},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.5715410113334656},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5570204257965088},{"id":"https://openalex.org/C200127275","wikidata":"https://www.wikidata.org/wiki/Q173853","display_name":"Quaternion","level":2,"score":0.5556730628013611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5082108974456787},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4699682891368866},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.4504658579826355},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4486444592475891},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4136284291744232},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39142072200775146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37344127893447876},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3241543769836426},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2908095717430115},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0781714916229248}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2020.10.ipas-062","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2020.10.ipas-062","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2562072950","https://openalex.org/W2792489537","https://openalex.org/W3019147359","https://openalex.org/W2962819983","https://openalex.org/W3169734547","https://openalex.org/W4310175020","https://openalex.org/W2742029448","https://openalex.org/W2571757032","https://openalex.org/W4210537690","https://openalex.org/W2885157826"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,77,92],"new":[4,112],"method":[5,19,93,138],"for":[6,39],"segmenting":[7,87],"medical":[8,130],"images":[9,131],"is":[10,44,108],"based":[11,99],"on":[12,100,128],"Hamiltonian":[13],"quaternions":[14],"and":[15,25,60,117],"the":[16,21,31,42,52,72,88,105,144],"associative":[17],"algebra,":[18],"of":[20,33,54,94,121,123,139],"active":[22],"contour":[23],"model":[24],"LPA-ICI":[26],"(local":[27],"polynomial":[28,102],"approximation":[29],"-":[30],"intersection":[32],"confidence":[34],"intervals)":[35],"anisotropic":[36],"gradient.":[37],"Since":[38],"segmentation":[40,137],"tasks,":[41],"image":[43,79],"usually":[45],"converted":[46],"to":[47,51,75,80],"grayscale,":[48],"this":[49,68],"leads":[50],"loss":[53],"important":[55,62],"information":[56,63],"about":[57],"color,":[58],"saturation,":[59],"other":[61],"associated":[64],"color.":[65],"To":[66],"solve":[67],"problem,":[69],"we":[70],"use":[71],"quaternion":[73],"framework":[74],"represent":[76],"color":[78],"consider":[81],"all":[82],"three":[83],"channels":[84],"simultaneously":[85],"when":[86],"RGB":[89],"image.":[90],"As":[91],"noise":[95],"reduction,":[96],"adaptive":[97],"filtering":[98],"local":[101],"estimates":[103],"using":[104],"ICI":[106],"rule":[107],"used.":[109],"The":[110,125],"presented":[111],"approach":[113],"allows":[114],"obtaining":[115],"clearer":[116],"more":[118,140],"detailed":[119],"boundaries":[120],"objects":[122],"interest.":[124],"experiments":[126],"performed":[127],"real":[129],"(Z-line":[132],"detection)":[133],"show":[134],"that":[135],"our":[136],"efficient":[141],"compared":[142],"with":[143],"current":[145],"state-of-art":[146],"methods.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}