{"id":"https://openalex.org/W3111475300","doi":"https://doi.org/10.1109/access.2020.3044881","title":"An Improved Matrix Factorization Based Active Contours Combining Edge Preservation for Image Segmentation","display_name":"An Improved Matrix Factorization Based Active Contours Combining Edge Preservation for Image Segmentation","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3111475300","doi":"https://doi.org/10.1109/access.2020.3044881","mag":"3111475300"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3044881","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3044881","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09294123.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09294123.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101890442","display_name":"Jinyun Jiang","orcid":"https://orcid.org/0000-0002-4348-7133"},"institutions":[{"id":"https://openalex.org/I4210123686","display_name":"Quzhou University","ror":"https://ror.org/024nfx323","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210123686"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyun Jiang","raw_affiliation_strings":["College of Mechanical Engineering, Quzhou University, Quzhou, China","Key Laboratory of Air-Driven Equipment Technology of Zhejiang Province, Quzhou University, Quzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4348-7133","affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering, Quzhou University, Quzhou, China","institution_ids":["https://openalex.org/I4210123686"]},{"raw_affiliation_string":"Key Laboratory of Air-Driven Equipment Technology of Zhejiang Province, Quzhou University, Quzhou, China","institution_ids":["https://openalex.org/I4210123686"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069711159","display_name":"Xiaoliang Jiang","orcid":"https://orcid.org/0000-0003-2695-8586"},"institutions":[{"id":"https://openalex.org/I4210123686","display_name":"Quzhou University","ror":"https://ror.org/024nfx323","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210123686"]},{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Liang Jiang","raw_affiliation_strings":["College of Mechanical Engineering, Quzhou University, Quzhou, China","College of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China","Key Laboratory of Air-Driven Equipment Technology of Zhejiang Province, Quzhou University, Quzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2695-8586","affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering, Quzhou University, Quzhou, China","institution_ids":["https://openalex.org/I4210123686"]},{"raw_affiliation_string":"College of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"Key Laboratory of Air-Driven Equipment Technology of Zhejiang Province, Quzhou University, Quzhou, China","institution_ids":["https://openalex.org/I4210123686"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0979,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43081251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"223472","last_page":"223481"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9998999834060669,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9984999895095825,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9962999820709229,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.681459367275238},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6790143251419067},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6505524516105652},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6171460747718811},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6052370667457581},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5791105628013611},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5303628444671631},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5254582166671753},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5174896717071533},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.515791654586792},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5112109184265137},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.4955631494522095},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4546036124229431},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4365397095680237},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4180564284324646},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4128875136375427},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2882925271987915},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27630382776260376},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2407960295677185}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.681459367275238},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6790143251419067},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6505524516105652},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6171460747718811},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6052370667457581},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5791105628013611},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5303628444671631},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5254582166671753},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5174896717071533},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.515791654586792},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5112109184265137},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.4955631494522095},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4546036124229431},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4365397095680237},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4180564284324646},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4128875136375427},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2882925271987915},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27630382776260376},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2407960295677185},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials 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},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3044881","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3044881","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09294123.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:79313b74e33a44ca91eeea2bc90f414e","is_oa":true,"landing_page_url":"https://doaj.org/article/79313b74e33a44ca91eeea2bc90f414e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 223472-223481 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3044881","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3044881","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09294123.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.699999988079071,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1730674688","display_name":null,"funder_award_id":"51876103","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G1754143682","display_name":null,"funder_award_id":"LQ18F010007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2640219465","display_name":null,"funder_award_id":"LQ17C160001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G5629424145","display_name":null,"funder_award_id":"51275272","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G6441518596","display_name":null,"funder_award_id":"2018E10011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7324929172","display_name":null,"funder_award_id":"51806122","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7433178998","display_name":null,"funder_award_id":"LQ18F010007","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G7500103400","display_name":null,"funder_award_id":"LQ17C160001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8300003569","display_name":null,"funder_award_id":"51876103","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8730099298","display_name":null,"funder_award_id":"51275272","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3111475300.pdf","grobid_xml":"https://content.openalex.org/works/W3111475300.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1603679155","https://openalex.org/W2040685452","https://openalex.org/W2056672804","https://openalex.org/W2069533927","https://openalex.org/W2114407479","https://openalex.org/W2116040950","https://openalex.org/W2121927366","https://openalex.org/W2122184585","https://openalex.org/W2139478903","https://openalex.org/W2167354555","https://openalex.org/W2344048381","https://openalex.org/W2516884085","https://openalex.org/W2610036018","https://openalex.org/W2616099284","https://openalex.org/W2768386256","https://openalex.org/W2776065649","https://openalex.org/W2783030135","https://openalex.org/W2789609908","https://openalex.org/W2790696291","https://openalex.org/W2791359027","https://openalex.org/W2791978536","https://openalex.org/W2793705791","https://openalex.org/W2794363224","https://openalex.org/W2805429653","https://openalex.org/W2810456884","https://openalex.org/W2838813539","https://openalex.org/W2885353400","https://openalex.org/W2889206953","https://openalex.org/W2895400462","https://openalex.org/W2896145365","https://openalex.org/W2904960419","https://openalex.org/W2907398861","https://openalex.org/W2914281449","https://openalex.org/W2914679945","https://openalex.org/W2914823864","https://openalex.org/W2927323109","https://openalex.org/W2952800390","https://openalex.org/W2957298900","https://openalex.org/W2958196320","https://openalex.org/W2963319768","https://openalex.org/W2965153464","https://openalex.org/W6677607857","https://openalex.org/W6678461930","https://openalex.org/W6757126915","https://openalex.org/W6766402656"],"related_works":["https://openalex.org/W2794559785","https://openalex.org/W2107628111","https://openalex.org/W2394004323","https://openalex.org/W1754499339","https://openalex.org/W2398764543","https://openalex.org/W2013873776","https://openalex.org/W2789802309","https://openalex.org/W1973739845","https://openalex.org/W119752240","https://openalex.org/W2116510815"],"abstract_inverted_index":{"Image":[0],"segmentation":[1],"is":[2,38,66,92],"a":[3,26,96,104],"crucial":[4],"role":[5],"towards":[6],"clinical":[7],"diagnosis":[8],"and":[9,21,98,108,123],"therapy":[10],"planning":[11],"due":[12],"to":[13,41,53,94],"the":[14,33,49,55,63,78,81,89,128],"existence":[15],"of":[16,35,106],"abundant":[17],"noise,":[18],"blurry":[19],"boundaries":[20],"heterogeneity.":[22],"In":[23],"this":[24],"work,":[25],"novel":[27],"matrix":[28,69],"factorization":[29,70],"based":[30],"approach":[31,119],"with":[32,80],"ability":[34],"edge":[36,90],"preservation":[37,91],"presented.":[39],"Firstly,":[40],"obtain":[42,95],"more":[43,99,125],"comprehensive":[44],"feature":[45,60],"description,":[46],"we":[47],"use":[48],"local":[50,56],"spectral":[51],"histograms":[52],"describe":[54],"structures":[57],"formed":[58],"by":[59],"values.":[61],"Secondly,":[62],"energy":[64],"function":[65],"established":[67],"via":[68],"theory,":[71],"which":[72],"makes":[73],"each":[74],"pixel":[75],"fall":[76],"into":[77],"sub-region":[79],"largest":[82],"coverage":[83],"area":[84],"in":[85],"its":[86],"neighborhood.":[87],"Then,":[88],"used":[93],"smoother":[97],"accurate":[100],"object":[101],"boundary.":[102],"Finally,":[103],"number":[105],"synthetic":[107],"natural":[109],"images":[110],"are":[111],"performed":[112],"for":[113],"verification.":[114],"Experiments":[115],"demonstrated":[116],"that":[117],"our":[118],"achieves":[120],"satisfactory":[121],"results":[122],"has":[124],"robust":[126],"against":[127],"complex":[129],"background":[130],"than":[131],"other":[132],"methods.":[133]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
