{"id":"https://openalex.org/W1987286789","doi":"https://doi.org/10.1109/tip.2014.2372615","title":"An Efficient MRF Embedded Level Set Method for Image Segmentation","display_name":"An Efficient MRF Embedded Level Set Method for Image Segmentation","publication_year":2014,"publication_date":"2014-11-20","ids":{"openalex":"https://openalex.org/W1987286789","doi":"https://doi.org/10.1109/tip.2014.2372615","mag":"1987286789","pmid":"https://pubmed.ncbi.nlm.nih.gov/25420261"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2014.2372615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2372615","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5011324535","display_name":"Xi Yang","orcid":"https://orcid.org/0000-0002-5791-3674"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xi Yang","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101785348","display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0003-1443-0776"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076879912","display_name":"Dacheng Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096034","display_name":"Centre for Quantum Computation and Communication Technology","ror":"https://ror.org/00rnbty21","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1337719021","https://openalex.org/I165143802","https://openalex.org/I2801453606","https://openalex.org/I4210096034","https://openalex.org/I4210132349"]},{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dacheng Tao","raw_affiliation_strings":["Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 235 Jones Street, Ultimo, NSW, Australia","[Centre for Quantum Computation and Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 235 Jones Street, Ultimo, NSW, Australia]"],"affiliations":[{"raw_affiliation_string":"Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 235 Jones Street, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I4210096034","https://openalex.org/I114017466"]},{"raw_affiliation_string":"[Centre for Quantum Computation and Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 235 Jones Street, Ultimo, NSW, Australia]","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740143","display_name":"Xuelong Li","orcid":"https://orcid.org/0000-0002-0019-4197"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelong Li","raw_affiliation_strings":["Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi\u2019an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi\u2019an, China","Center for Optical Imagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences , Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi\u2019an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210144662"]},{"raw_affiliation_string":"Center for Optical Imagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences , Xi'an, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100642870","display_name":"Jie Li","orcid":"https://orcid.org/0000-0001-9400-7382"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["Video and Image Processing System Laboratory, School of Electronic Engineering, Xidian University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"Video and Image Processing System Laboratory, School of Electronic Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5011324535"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":12.1938,"has_fulltext":false,"cited_by_count":133,"citation_normalized_percentile":{"value":0.99019865,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"24","issue":"1","first_page":"9","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9984999895095825,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/markov-random-field","display_name":"Markov random field","score":0.7611885070800781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7060779929161072},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6726685762405396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6523106098175049},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6099178791046143},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6037904024124146},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5210689902305603},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5107693672180176},{"id":"https://openalex.org/keywords/level-set-method","display_name":"Level set method","score":0.47386789321899414},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4263143539428711},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.37759828567504883},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3771445155143738},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2700980305671692}],"concepts":[{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.7611885070800781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7060779929161072},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6726685762405396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6523106098175049},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6099178791046143},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6037904024124146},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5210689902305603},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5107693672180176},{"id":"https://openalex.org/C125269122","wikidata":"https://www.wikidata.org/wiki/Q1751397","display_name":"Level set method","level":4,"score":0.47386789321899414},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4263143539428711},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.37759828567504883},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3771445155143738},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2700980305671692},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2014.2372615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2372615","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:25420261","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25420261","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:ir.opt.ac.cn:181661/25519","is_oa":false,"landing_page_url":"http://ir.opt.ac.cn/handle/181661/25519","pdf_url":null,"source":{"id":"https://openalex.org/S4377196962","display_name":"Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144662","host_organization_name":"Xi'an Institute of Optics and Precision Mechanics","host_organization_lineage":["https://openalex.org/I4210144662"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G167722907","display_name":null,"funder_award_id":"61432014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2486945510","display_name":null,"funder_award_id":"BDZ021403","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G349275994","display_name":null,"funder_award_id":"K5051202048","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5329554664","display_name":null,"funder_award_id":"DP-140102164","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G5659964068","display_name":null,"funder_award_id":"FT-130101457","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G5909552777","display_name":null,"funder_award_id":"61125204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6066800561","display_name":null,"funder_award_id":"61172146","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7669865480","display_name":null,"funder_award_id":"61125106","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8191361664","display_name":null,"funder_award_id":"41031064","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8312325785","display_name":null,"funder_award_id":"JB149901","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8405614816","display_name":null,"funder_award_id":"LP-140100569","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W112908001","https://openalex.org/W1489669443","https://openalex.org/W1884769238","https://openalex.org/W1977946246","https://openalex.org/W1979968728","https://openalex.org/W1984852652","https://openalex.org/W1989708985","https://openalex.org/W1991113069","https://openalex.org/W2008009722","https://openalex.org/W2010262905","https://openalex.org/W2018057603","https://openalex.org/W2024840089","https://openalex.org/W2027252237","https://openalex.org/W2035293196","https://openalex.org/W2038495454","https://openalex.org/W2041196946","https://openalex.org/W2042597321","https://openalex.org/W2047109090","https://openalex.org/W2055388985","https://openalex.org/W2058314055","https://openalex.org/W2060223645","https://openalex.org/W2066864663","https://openalex.org/W2076923578","https://openalex.org/W2077888727","https://openalex.org/W2084445849","https://openalex.org/W2089507999","https://openalex.org/W2093323596","https://openalex.org/W2104095591","https://openalex.org/W2105782267","https://openalex.org/W2108424265","https://openalex.org/W2111310758","https://openalex.org/W2112891016","https://openalex.org/W2114220616","https://openalex.org/W2115150266","https://openalex.org/W2116040950","https://openalex.org/W2120352496","https://openalex.org/W2122184585","https://openalex.org/W2125378844","https://openalex.org/W2125808398","https://openalex.org/W2130250107","https://openalex.org/W2133216625","https://openalex.org/W2144541363","https://openalex.org/W2145169631","https://openalex.org/W2145803225","https://openalex.org/W2146983301","https://openalex.org/W2146988418","https://openalex.org/W2157082243","https://openalex.org/W2163084005","https://openalex.org/W2164822588","https://openalex.org/W2997945685","https://openalex.org/W3211330693","https://openalex.org/W6629144004","https://openalex.org/W6669799213","https://openalex.org/W6677607857","https://openalex.org/W6679175010","https://openalex.org/W6681640588"],"related_works":["https://openalex.org/W4233585817","https://openalex.org/W2016045932","https://openalex.org/W1675950995","https://openalex.org/W2373659438","https://openalex.org/W2188882668","https://openalex.org/W2088323302","https://openalex.org/W2004379491","https://openalex.org/W2021544484","https://openalex.org/W2083140487","https://openalex.org/W2102683994"],"abstract_inverted_index":{"This":[0,35],"paper":[1],"presents":[2],"a":[3,21,43,59,98,183],"fast":[4,60,116],"and":[5,48,74,84,92,117,128,143,188],"robust":[6,118,153],"level":[7,31,66,119,125,163],"set":[8,32,67,120,126,164],"method":[9,77,107,121,127,151,165],"for":[10,108],"image":[11,110,169],"segmentation.":[12],"To":[13,57],"enhance":[14],"the":[15,29,40,54,63,81,86,103,114,123,149,161],"robustness":[16],"against":[17,154],"noise,":[18],"we":[19,69,146],"embed":[20],"Markov":[22],"random":[23],"field":[24,76],"(MRF)":[25],"energy":[26,33,37],"function":[27,38],"to":[28,51,79],"conventional":[30],"function.":[34],"MRF":[36,64],"builds":[39],"correlation":[41],"of":[42,62,105,157,170],"pixel":[44],"with":[45,122,185],"its":[46,129],"neighbors":[47],"encourages":[49],"them":[50],"fall":[52],"into":[53],"same":[55],"region.":[56],"obtain":[58],"implementation":[61],"embedded":[65],"model,":[68],"explore":[70],"algebraic":[71],"multigrid":[72],"(AMG)":[73],"sparse":[75],"(SFM)":[78],"increase":[80],"time":[82],"step":[83],"decrease":[85],"computation":[87],"domain,":[88],"respectively.":[89],"Both":[90],"AMG":[91],"SFM":[93],"can":[94,166],"be":[95],"conducted":[96],"in":[97,182],"parallel":[99],"fashion,":[100],"which":[101],"facilitates":[102],"processing":[104],"our":[106],"big":[109],"databases.":[111],"By":[112],"comparing":[113],"proposed":[115],"standard":[124],"popular":[130],"variants":[131],"on":[132,178],"noisy":[133],"synthetic":[134,136],"images,":[135,140,142,145],"aperture":[137],"radar":[138],"(SAR)":[139],"medical":[141],"natural":[144],"comprehensively":[147],"demonstrate":[148],"new":[150,162],"is":[152],"various":[155],"kinds":[156],"noises.":[158],"In":[159],"particular,":[160],"segment":[167],"an":[168],"size":[171],"500":[172,174],"\u00d7":[173],"within":[175],"3":[176],"s":[177],"MATLAB":[179],"R2010b":[180],"installed":[181],"computer":[184],"3.30-GHz":[186],"CPU":[187],"4-GB":[189],"memory.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":24},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":15},{"year":2015,"cited_by_count":18}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
