{"id":"https://openalex.org/W2023471252","doi":"https://doi.org/10.1109/fuzz-ieee.2013.6622480","title":"N-cuts parameter adjustment using evolving fuzzy inferencing","display_name":"N-cuts parameter adjustment using evolving fuzzy inferencing","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2023471252","doi":"https://doi.org/10.1109/fuzz-ieee.2013.6622480","mag":"2023471252"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2013.6622480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2013.6622480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5108746163","display_name":"Ahmed A. Othman","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Ahmed A. Othman","raw_affiliation_strings":["Systems Design Engineering, University of Waterloo, ONT, Canada","Systems Design Engineering, University of Waterloo Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Systems Design Engineering, University of Waterloo, ONT, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Systems Design Engineering, University of Waterloo Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038566332","display_name":"Hamid R. Tizhoosh","orcid":"https://orcid.org/0000-0001-5488-601X"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hamid R. Tizhoosh","raw_affiliation_strings":["Systems Design Engineering, University of Waterloo, ONT, Canada","Systems Design Engineering, University of Waterloo Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Systems Design Engineering, University of Waterloo, ONT, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Systems Design Engineering, University of Waterloo Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108746163"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09614097,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"220","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9835000038146973,"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":0.9835000038146973,"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":0.9819999933242798,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/cut","display_name":"Cut","score":0.7681331038475037},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6893448233604431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6771039962768555},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6517406702041626},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5937831997871399},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.5102744102478027},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.49764135479927063},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4952365458011627},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49483221769332886},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4496843218803406},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4479856789112091},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.4305698275566101},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4288908541202545},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4268658459186554},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4035280644893646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2386745810508728},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.10007113218307495}],"concepts":[{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.7681331038475037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6893448233604431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6771039962768555},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6517406702041626},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5937831997871399},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.5102744102478027},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.49764135479927063},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4952365458011627},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49483221769332886},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4496843218803406},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4479856789112091},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.4305698275566101},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4288908541202545},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4268658459186554},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4035280644893646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2386745810508728},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.10007113218307495},{"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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2013.6622480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2013.6622480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2003521715","https://openalex.org/W2004000008","https://openalex.org/W2024060531","https://openalex.org/W2057676903","https://openalex.org/W2067966792","https://openalex.org/W2092682490","https://openalex.org/W2107082000","https://openalex.org/W2114651920","https://openalex.org/W2121947440","https://openalex.org/W2124386111","https://openalex.org/W2144276202","https://openalex.org/W2151103935","https://openalex.org/W2160167256","https://openalex.org/W2161610389","https://openalex.org/W2169384954","https://openalex.org/W2171253128","https://openalex.org/W4230167402"],"related_works":["https://openalex.org/W2045049461","https://openalex.org/W1978893398","https://openalex.org/W2201908702","https://openalex.org/W2109407305","https://openalex.org/W2032319136","https://openalex.org/W1582388844","https://openalex.org/W2088651901","https://openalex.org/W2897997384","https://openalex.org/W1544828638","https://openalex.org/W2049858394"],"abstract_inverted_index":{"Normalized":[0],"cut":[1],"(N-cut)":[2],"is":[3,84,107],"a":[4,15,82],"rather":[5],"recent":[6],"approach":[7],"to":[8,20,53,86,109],"image":[9,13,94,98],"segmentation":[10,32,56],"representing":[11],"the":[12,31,97],"as":[14],"graph":[16],"and":[17,47,76],"using":[18,100],"eigenvalues":[19],"partition":[21],"it.":[22],"However,":[23],"this":[24,80],"method":[25,83,106],"has":[26],"several":[27],"parameters":[28,39,59,90],"that":[29],"affect":[30],"accuracy.":[33],"Using":[34],"pre-set":[35],"values":[36],"for":[37,44,50,64,91],"these":[38,58],"may":[40,60],"generate":[41],"good":[42],"results":[43,49],"some":[45],"images":[46,112],"bad":[48],"others.":[51],"Thus,":[52],"achieve":[54],"maximum":[55],"accuracy,":[57],"be":[61,74],"manually":[62],"finetuned":[63],"every":[65,92],"set":[66],"of":[67,71,114],"images.":[68],"This":[69],"process,":[70],"course,":[72],"would":[73],"impractical":[75],"lack":[77],"generality.":[78],"In":[79],"paper,":[81],"proposed":[85,105],"automatically":[87],"determine":[88],"N-cut":[89],"single":[93],"based":[95],"on":[96],"features":[99],"evolving":[101],"fuzzy":[102],"sets.":[103],"The":[104],"applied":[108],"magnetic":[110],"reasoning":[111],"(MRI)":[113],"bladder.":[115]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
