{"id":"https://openalex.org/W4402915276","doi":"https://doi.org/10.1109/icip51287.2024.10647483","title":"B-Walk: Bernoulli Principle Guided Biased Random Walk for Curve Connection","display_name":"B-Walk: Bernoulli Principle Guided Biased Random Walk for Curve Connection","publication_year":2024,"publication_date":"2024-09-27","ids":{"openalex":"https://openalex.org/W4402915276","doi":"https://doi.org/10.1109/icip51287.2024.10647483"},"language":"en","primary_location":{"id":"doi:10.1109/icip51287.2024.10647483","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip51287.2024.10647483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","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/A5112512373","display_name":"Zhuang Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhuang Sun","raw_affiliation_strings":["Wuhan University of Science and Technology,School of Computer Science and Technology"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Science and Technology,School of Computer Science and Technology","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379326","display_name":"Li Chen","orcid":"https://orcid.org/0000-0003-2086-8686"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Chen","raw_affiliation_strings":["Wuhan University of Science and Technology,School of Computer Science and Technology"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Science and Technology,School of Computer Science and Technology","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112395293","display_name":"Zhida Feng","orcid":"https://orcid.org/0009-0004-6348-9621"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhida Feng","raw_affiliation_strings":["Wuhan University of Science and Technology,School of Computer Science and Technology"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Science and Technology,School of Computer Science and Technology","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100409053","display_name":"Xiaoming Liu","orcid":"https://orcid.org/0000-0003-3467-5607"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Liu","raw_affiliation_strings":["Wuhan University of Science and Technology,School of Computer Science and Technology"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Science and Technology,School of Computer Science and Technology","institution_ids":["https://openalex.org/I43922553"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5112512373"],"corresponding_institution_ids":["https://openalex.org/I43922553"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16431907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1445","last_page":"1451"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.8668000102043152,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.8668000102043152,"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/random-walk","display_name":"Random walk","score":0.8700207471847534},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.8251073360443115},{"id":"https://openalex.org/keywords/connection","display_name":"Connection (principal bundle)","score":0.7323099970817566},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41124042868614197},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.4071464538574219},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3935489058494568},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.23380526900291443},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16766759753227234},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12801745533943176}],"concepts":[{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.8700207471847534},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.8251073360443115},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.7323099970817566},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41124042868614197},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.4071464538574219},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3935489058494568},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.23380526900291443},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16766759753227234},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12801745533943176},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip51287.2024.10647483","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip51287.2024.10647483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2033723371","https://openalex.org/W2079605566","https://openalex.org/W2125637308","https://openalex.org/W2799240462","https://openalex.org/W2950929782","https://openalex.org/W2970646967","https://openalex.org/W2970669835","https://openalex.org/W2979860801","https://openalex.org/W2980185997","https://openalex.org/W2980524126","https://openalex.org/W2982364173","https://openalex.org/W3013766724","https://openalex.org/W3022194838","https://openalex.org/W3202498229","https://openalex.org/W4283828743","https://openalex.org/W4313527328"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027","https://openalex.org/W1984231369","https://openalex.org/W2044358132"],"abstract_inverted_index":{"In":[0,37],"the":[1,6,16,68,75,78,83,88,101,106,109,112,125],"segmentation":[2,51],"of":[3,15,70,90,127],"curve":[4,23,48],"structures,":[5],"discontinuity":[7],"may":[8],"lead":[9],"to":[10,39,73],"an":[11],"incomplete":[12],"topological":[13],"representation":[14],"structure.":[17],"The":[18],"current":[19],"methods":[20],"for":[21,46],"reconnecting":[22,47],"structures":[24,49],"lack":[25],"physical":[26,121],"explanations":[27],"and":[28,62,86,123],"are":[29],"limited":[30],"in":[31,34,50,105],"their":[32],"effectiveness":[33,126],"image":[35,128],"processing.":[36,129],"order":[38],"address":[40],"these":[41],"constraints,":[42],"a":[43,95,118],"new":[44],"algorithm":[45,66],"is":[52],"proposed":[53],"by":[54,100],"combining":[55],"fluid":[56],"mechanics":[57],"principles,":[58],"especially":[59],"Bernoulli\u2019s":[60],"principle":[61],"random":[63,97],"walks.":[64],"This":[65,114],"calculates":[67],"similarity":[69],"fracture":[71,76],"curves":[72],"find":[74],"curve.Redefined":[77],"energy":[79,91,102],"calculation":[80],"method":[81],"during":[82],"reconnection":[84],"process":[85],"calculated":[87],"probability":[89,104],"transfer.":[92],"It":[93],"adopts":[94],"biased":[96],"walk":[98],"guided":[99],"transfer":[103],"graph":[107],"until":[108],"walker":[110],"reaches":[111],"target.":[113],"innovative":[115],"approach":[116],"provides":[117],"more":[119],"comprehensive":[120],"explanation":[122],"improves":[124]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
