{"id":"https://openalex.org/W4281636263","doi":"https://doi.org/10.1007/978-3-031-16788-1_11","title":"A Bhattacharyya Coefficient-Based Framework for\u00a0Noise Model-Aware Random Walker Image Segmentation","display_name":"A Bhattacharyya Coefficient-Based Framework for\u00a0Noise Model-Aware Random Walker Image Segmentation","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4281636263","doi":"https://doi.org/10.1007/978-3-031-16788-1_11"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-16788-1_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-16788-1_11","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5072951871","display_name":"Dominik Drees","orcid":"https://orcid.org/0000-0001-8975-1844"},"institutions":[{"id":"https://openalex.org/I22465464","display_name":"University of M\u00fcnster","ror":"https://ror.org/00pd74e08","country_code":"DE","type":"education","lineage":["https://openalex.org/I22465464"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Dominik Drees","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, University of M\u00fcnster, M\u00fcnster, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, University of M\u00fcnster, M\u00fcnster, Germany","institution_ids":["https://openalex.org/I22465464"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054352286","display_name":"Florian Eilers","orcid":"https://orcid.org/0000-0003-0726-3287"},"institutions":[{"id":"https://openalex.org/I22465464","display_name":"University of M\u00fcnster","ror":"https://ror.org/00pd74e08","country_code":"DE","type":"education","lineage":["https://openalex.org/I22465464"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Eilers","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, University of M\u00fcnster, M\u00fcnster, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, University of M\u00fcnster, M\u00fcnster, Germany","institution_ids":["https://openalex.org/I22465464"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005209986","display_name":"Ang Bian","orcid":"https://orcid.org/0000-0002-7667-9780"},"institutions":[{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]},{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ang Bian","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022183918","display_name":"Xiaoyi Jiang","orcid":"https://orcid.org/0000-0001-7678-9528"},"institutions":[{"id":"https://openalex.org/I22465464","display_name":"University of M\u00fcnster","ror":"https://ror.org/00pd74e08","country_code":"DE","type":"education","lineage":["https://openalex.org/I22465464"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Xiaoyi Jiang","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, University of M\u00fcnster, M\u00fcnster, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, University of M\u00fcnster, M\u00fcnster, Germany","institution_ids":["https://openalex.org/I22465464"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072951871"],"corresponding_institution_ids":["https://openalex.org/I22465464"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.2827,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61809964,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"166","last_page":"181"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9980999827384949,"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":0.9930999875068665,"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/computer-science","display_name":"Computer science","score":0.7653874158859253},{"id":"https://openalex.org/keywords/random-walker-algorithm","display_name":"Random walker algorithm","score":0.716079592704773},{"id":"https://openalex.org/keywords/bhattacharyya-distance","display_name":"Bhattacharyya distance","score":0.6105557084083557},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5848575830459595},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5377500057220459},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5287777185440063},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.47686728835105896},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.47635722160339355},{"id":"https://openalex.org/keywords/weight-function","display_name":"Weight function","score":0.44729548692703247},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42140695452690125},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4200470447540283},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40901100635528564},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3666362762451172},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16472670435905457},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08254504203796387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7653874158859253},{"id":"https://openalex.org/C105045736","wikidata":"https://www.wikidata.org/wiki/Q7292002","display_name":"Random walker algorithm","level":3,"score":0.716079592704773},{"id":"https://openalex.org/C24145651","wikidata":"https://www.wikidata.org/wiki/Q2901249","display_name":"Bhattacharyya distance","level":2,"score":0.6105557084083557},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5848575830459595},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5377500057220459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5287777185440063},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.47686728835105896},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.47635722160339355},{"id":"https://openalex.org/C134466208","wikidata":"https://www.wikidata.org/wiki/Q1520657","display_name":"Weight function","level":2,"score":0.44729548692703247},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42140695452690125},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4200470447540283},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40901100635528564},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3666362762451172},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16472670435905457},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08254504203796387},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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:10.1007/978-3-031-16788-1_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-16788-1_11","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1127856559","https://openalex.org/W1585450072","https://openalex.org/W1588748369","https://openalex.org/W1968058484","https://openalex.org/W2015212546","https://openalex.org/W2017679199","https://openalex.org/W2026269844","https://openalex.org/W2033403400","https://openalex.org/W2045656688","https://openalex.org/W2059222243","https://openalex.org/W2061305400","https://openalex.org/W2069629287","https://openalex.org/W2097084589","https://openalex.org/W2103423579","https://openalex.org/W2104775941","https://openalex.org/W2105125008","https://openalex.org/W2108424265","https://openalex.org/W2113726946","https://openalex.org/W2123787805","https://openalex.org/W2125637308","https://openalex.org/W2127087396","https://openalex.org/W2129070834","https://openalex.org/W2136035751","https://openalex.org/W2144548729","https://openalex.org/W2162310225","https://openalex.org/W2162995444","https://openalex.org/W2165170333","https://openalex.org/W2481518362","https://openalex.org/W2510754036","https://openalex.org/W2529506056","https://openalex.org/W2536593090","https://openalex.org/W2605201589","https://openalex.org/W2609443477","https://openalex.org/W2792083654","https://openalex.org/W2798769484","https://openalex.org/W2800561367","https://openalex.org/W2900227785","https://openalex.org/W2942839421","https://openalex.org/W2945421731","https://openalex.org/W2946315763","https://openalex.org/W2954909334","https://openalex.org/W2984353343","https://openalex.org/W2988949830","https://openalex.org/W3003650457","https://openalex.org/W3015051777","https://openalex.org/W3034586976","https://openalex.org/W3080573752","https://openalex.org/W3097623989","https://openalex.org/W3164854098","https://openalex.org/W3203112436","https://openalex.org/W4214714094","https://openalex.org/W4256593509","https://openalex.org/W4283699579"],"related_works":["https://openalex.org/W3149747767","https://openalex.org/W1536747792","https://openalex.org/W1982681402","https://openalex.org/W2192403599","https://openalex.org/W2366937720","https://openalex.org/W3006903617","https://openalex.org/W2790543485","https://openalex.org/W2130673623","https://openalex.org/W2120981610","https://openalex.org/W2148826257"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
