{"id":"https://openalex.org/W3016008923","doi":"https://doi.org/10.1109/icassp40776.2020.9054627","title":"Hybrid Active Contour Driven by Double-Weighted Signed Pressure Force for Image Segmentation","display_name":"Hybrid Active Contour Driven by Double-Weighted Signed Pressure Force for Image Segmentation","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3016008923","doi":"https://doi.org/10.1109/icassp40776.2020.9054627","mag":"3016008923"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054627","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054627","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5023599556","display_name":"Xingyu Fu","orcid":"https://orcid.org/0000-0002-2543-3975"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xingyu Fu","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046520540","display_name":"Bin Fang","orcid":"https://orcid.org/0000-0003-1955-6626"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Fang","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058789711","display_name":"Mingliang Zhou","orcid":"https://orcid.org/0000-0001-8302-4435"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingliang Zhou","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100352041","display_name":"Jiajun Li","orcid":"https://orcid.org/0000-0002-7208-9345"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Li","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023599556"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":0.0977,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.36721113,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"19","issue":null,"first_page":"2463","last_page":"2467"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.998199999332428,"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":0.998199999332428,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9966999888420105,"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":0.9957000017166138,"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/legendre-polynomials","display_name":"Legendre polynomials","score":0.7119805812835693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6323699355125427},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6141352653503418},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6077190637588501},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.6067080497741699},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5957314372062683},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5524175763130188},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.5431514978408813},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48424288630485535},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4707672595977783},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.45240384340286255},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41398584842681885},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.41253918409347534},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3675655126571655},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.20059698820114136},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.15517181158065796},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12422388792037964}],"concepts":[{"id":"https://openalex.org/C111458787","wikidata":"https://www.wikidata.org/wiki/Q215405","display_name":"Legendre polynomials","level":2,"score":0.7119805812835693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6323699355125427},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6141352653503418},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6077190637588501},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.6067080497741699},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5957314372062683},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5524175763130188},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.5431514978408813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48424288630485535},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4707672595977783},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.45240384340286255},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41398584842681885},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.41253918409347534},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3675655126571655},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.20059698820114136},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.15517181158065796},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12422388792037964},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"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/icassp40776.2020.9054627","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054627","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":21,"referenced_works":["https://openalex.org/W1979393293","https://openalex.org/W2027181118","https://openalex.org/W2082370554","https://openalex.org/W2116040950","https://openalex.org/W2167354555","https://openalex.org/W2433693374","https://openalex.org/W2674951955","https://openalex.org/W2743704482","https://openalex.org/W2750733942","https://openalex.org/W2790696291","https://openalex.org/W2793705791","https://openalex.org/W2794304857","https://openalex.org/W2801045955","https://openalex.org/W2890791742","https://openalex.org/W2900072115","https://openalex.org/W2900951123","https://openalex.org/W2906293839","https://openalex.org/W2907398861","https://openalex.org/W2914823864","https://openalex.org/W2921014893","https://openalex.org/W3211330693"],"related_works":["https://openalex.org/W2736737644","https://openalex.org/W3106446297","https://openalex.org/W2385225694","https://openalex.org/W1607269076","https://openalex.org/W2905254149","https://openalex.org/W2384347880","https://openalex.org/W2885157826","https://openalex.org/W2159463658","https://openalex.org/W4388208420","https://openalex.org/W2116510815"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"proposed":[4,112],"a":[5,37,56,87],"novel":[6],"hybrid":[7],"active":[8],"contour":[9,144],"driven":[10],"by":[11,54],"double-weighted":[12],"signed":[13,31],"pressure":[14,32],"force":[15,33],"method":[16,113],"for":[17,118],"image":[18,106],"segmentation.":[19,107],"First,":[20],"the":[21,30,43,47,60,69,76,81,97,104,111,130,135,142],"Legendre":[22,48],"polynomials":[23],"and":[24,36,50,64,78,101,126,138],"global":[25,51],"information":[26],"are":[27],"integrated":[28],"into":[29],"(SPF)":[34],"function":[35,91],"coefficient":[38,61],"is":[39,92,139],"applied":[40],"to":[41,75,94,141],"weight":[42],"effect":[44],"degrees":[45],"of":[46,62,80,83,99],"term":[49],"term.":[52],"Second,":[53],"introducing":[55],"weighted":[57],"factor":[58],"as":[59],"inside":[63],"outside":[65],"region":[66,82],"fitting":[67],"center,":[68],"curve":[70],"can":[71,114],"be":[72],"optimally":[73],"evolved":[74],"interior":[77],"branches":[79],"interest":[84],"(ROI).":[85],"Third,":[86],"new":[88],"edge":[89,98,125],"stopping":[90],"adopted":[93],"robustly":[95],"capture":[96],"ROI":[100],"speed":[102],"up":[103],"multi-object":[105],"Experiments":[108],"show":[109],"that":[110],"achieve":[115],"better":[116],"accuracy":[117],"images":[119],"with":[120],"noise,":[121],"inhomogeneous":[122],"intensity,":[123],"blur":[124],"complex":[127],"branches,":[128],"in":[129],"meanwhile,":[131],"it":[132],"also":[133],"controls":[134],"time-consuming":[136],"effectively":[137],"insensitive":[140],"initial":[143],"position.":[145]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
