{"id":"https://openalex.org/W2092484105","doi":"https://doi.org/10.1117/12.2014161","title":"Interactive grain image segmentation using graph cut algorithms","display_name":"Interactive grain image segmentation using graph cut algorithms","publication_year":2013,"publication_date":"2013-02-14","ids":{"openalex":"https://openalex.org/W2092484105","doi":"https://doi.org/10.1117/12.2014161","mag":"2092484105"},"language":"en","primary_location":{"id":"doi:10.1117/12.2014161","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2014161","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5058298152","display_name":"Jarrell Waggoner","orcid":null},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jarrell Waggoner","raw_affiliation_strings":["Univ. of South Carolina (United States)","Univ. of  South Carolina (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of South Carolina (United States)","institution_ids":["https://openalex.org/I155781252"]},{"raw_affiliation_string":"Univ. of  South Carolina (United States)","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102993434","display_name":"Youjie Zhou","orcid":"https://orcid.org/0000-0001-7188-6329"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Youjie Zhou","raw_affiliation_strings":["Univ. of South Carolina (United States)","Univ. of  South Carolina (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of South Carolina (United States)","institution_ids":["https://openalex.org/I155781252"]},{"raw_affiliation_string":"Univ. of  South Carolina (United States)","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110157527","display_name":"Jeff Simmons","orcid":null},"institutions":[{"id":"https://openalex.org/I1280414376","display_name":"United States Air Force Research Laboratory","ror":"https://ror.org/02e2egq70","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280414376","https://openalex.org/I1330347796","https://openalex.org/I4210102105","https://openalex.org/I4389425425"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeff Simmons","raw_affiliation_strings":["Air Force Research Lab. (United States)","Air Force Research Lab, United States"],"affiliations":[{"raw_affiliation_string":"Air Force Research Lab. (United States)","institution_ids":["https://openalex.org/I1280414376"]},{"raw_affiliation_string":"Air Force Research Lab, United States","institution_ids":["https://openalex.org/I1280414376"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067163720","display_name":"Ayman A. Salem","orcid":"https://orcid.org/0000-0003-0907-1502"},"institutions":[{"id":"https://openalex.org/I4210162800","display_name":"Materials Resources (United States)","ror":"https://ror.org/054px3h87","country_code":"US","type":"company","lineage":["https://openalex.org/I4210162800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ayman Salem","raw_affiliation_strings":["Materials Resources, LLC (United States)"],"affiliations":[{"raw_affiliation_string":"Materials Resources, LLC (United States)","institution_ids":["https://openalex.org/I4210162800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112233409","display_name":"Marc De Graef","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marc De Graef","raw_affiliation_strings":["Carnegie Mellon Univ. (United States)","Carnegie-Mellon University (United States)"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon Univ. (United States)","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University (United States)","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082259804","display_name":"Song Wang","orcid":"https://orcid.org/0000-0003-4152-5295"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Song Wang","raw_affiliation_strings":["Univ. of South Carolina (United States)","Univ. of  South Carolina (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of South Carolina (United States)","institution_ids":["https://openalex.org/I155781252"]},{"raw_affiliation_string":"Univ. of  South Carolina (United States)","institution_ids":["https://openalex.org/I155781252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5058298152"],"corresponding_institution_ids":["https://openalex.org/I155781252"],"apc_list":null,"apc_paid":null,"fwci":0.2722,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62151542,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8657","issue":null,"first_page":"86570I","last_page":"86570I"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9961000084877014,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.994700014591217,"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/segmentation","display_name":"Segmentation","score":0.8105835914611816},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8103628158569336},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.762311577796936},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.7516855001449585},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.7081924676895142},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.666357696056366},{"id":"https://openalex.org/keywords/minimum-spanning-tree-based-segmentation","display_name":"Minimum spanning tree-based segmentation","score":0.6090589761734009},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6005443930625916},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5579598546028137},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4957757890224457},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4871470630168915},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.4774880111217499},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4558072090148926},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.42683786153793335},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3940718173980713},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3522544503211975},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32314980030059814},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14199015498161316}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8105835914611816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8103628158569336},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.762311577796936},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.7516855001449585},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.7081924676895142},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.666357696056366},{"id":"https://openalex.org/C42314347","wikidata":"https://www.wikidata.org/wiki/Q6865488","display_name":"Minimum spanning tree-based segmentation","level":5,"score":0.6090589761734009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6005443930625916},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5579598546028137},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4957757890224457},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4871470630168915},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.4774880111217499},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4558072090148926},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.42683786153793335},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3940718173980713},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3522544503211975},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32314980030059814},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14199015498161316},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2014161","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2014161","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W40954061","https://openalex.org/W107968503","https://openalex.org/W1535069602","https://openalex.org/W1563007904","https://openalex.org/W1964884769","https://openalex.org/W1971254795","https://openalex.org/W1984470196","https://openalex.org/W2009862060","https://openalex.org/W2019635781","https://openalex.org/W2028494889","https://openalex.org/W2050626966","https://openalex.org/W2121927366","https://openalex.org/W2122007383","https://openalex.org/W2124351162","https://openalex.org/W2132537624","https://openalex.org/W2134411291","https://openalex.org/W2143516773","https://openalex.org/W2152263886","https://openalex.org/W2153120836","https://openalex.org/W2164140551"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2551987074","https://openalex.org/W3144569342","https://openalex.org/W2355564272","https://openalex.org/W2354401560","https://openalex.org/W2184016944","https://openalex.org/W2169551590","https://openalex.org/W2088651901","https://openalex.org/W2897997384","https://openalex.org/W2092484105"],"abstract_inverted_index":{"Segmenting":[0],"materials":[1,87,102],"images":[2,88,103],"is":[3,21,65],"a":[4,22,38,110,116,133,155],"laborious":[5],"and":[6,9,17,31,37,44,52,89,124,131,163],"time-consuming":[7],"process":[8],"automatic":[10,42,61],"image":[11,29,76],"segmentation":[12,20,47,64,80,92,99],"algorithms":[13],"usually":[14],"contain":[15],"imperfections":[16],"errors.":[18],"Interactive":[19],"growing":[23],"topic":[24],"in":[25,58,129],"the":[26,56,70,83,139,148,151],"areas":[27],"of":[28,86,91,119,150,158,160],"processing":[30],"computer":[32],"vision,":[33],"which":[34],"seeks":[35],"to":[36,67,73,143],"balance":[39],"between":[40],"fully":[41,45],"methods":[43],"manual":[46,127],"processes.":[48],"By":[49],"allowing":[50,126],"minimal":[51],"simplistic":[53],"interaction":[54,128],"from":[55,141,166],"user":[57,140],"an":[59,75,97],"otherwise":[60],"algorithm,":[62],"interactive":[63,98],"able":[66],"simultaneously":[68],"reduce":[69],"time":[71],"taken":[72],"segment":[74],"while":[77,121],"achieving":[78],"better":[79],"results.":[81],"Given":[82],"specialized":[84],"structure":[85],"level":[90],"quality":[93],"required,":[94],"we":[95],"show":[96,154],"framework":[100,112],"for":[101],"that":[104,113,137],"has":[105],"two":[106],"key":[107],"contributions:":[108],"1)":[109],"multi-labeling":[111],"can":[114],"handle":[115],"large":[117],"number":[118],"structures":[120],"still":[122],"quickly":[123],"conveniently":[125],"real-time,":[130],"2)":[132],"parameter":[134],"estimation":[135],"approach":[136],"prevents":[138],"having":[142],"manually":[144],"specify":[145],"parameters,":[146],"increasing":[147],"simplicity":[149],"interaction.":[152],"We":[153],"full":[156],"formulation":[157],"each":[159],"these":[161],"contributions":[162],"example":[164],"results":[165],"their":[167],"application.":[168]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
