{"id":"https://openalex.org/W2080598111","doi":"https://doi.org/10.1145/1963564.1963585","title":"Fast hybrid rough-set theoretic fuzzy clustering technique with application to multispectral image segmentation","display_name":"Fast hybrid rough-set theoretic fuzzy clustering technique with application to multispectral image segmentation","publication_year":2010,"publication_date":"2010-12-27","ids":{"openalex":"https://openalex.org/W2080598111","doi":"https://doi.org/10.1145/1963564.1963585","mag":"2080598111"},"language":"en","primary_location":{"id":"doi:10.1145/1963564.1963585","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1963564.1963585","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia","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/A5009829659","display_name":"Arpit Srivastava","orcid":null},"institutions":[{"id":"https://openalex.org/I91277730","display_name":"Maulana Azad National Institute of Technology","ror":"https://ror.org/026vtd268","country_code":"IN","type":"education","lineage":["https://openalex.org/I91277730"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Arpit Srivastava","raw_affiliation_strings":["MA National Institute of Technology, Bhopal, India"],"affiliations":[{"raw_affiliation_string":"MA National Institute of Technology, Bhopal, India","institution_ids":["https://openalex.org/I91277730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036168281","display_name":"Abhinav Asati","orcid":null},"institutions":[{"id":"https://openalex.org/I91277730","display_name":"Maulana Azad National Institute of Technology","ror":"https://ror.org/026vtd268","country_code":"IN","type":"education","lineage":["https://openalex.org/I91277730"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhinav Asati","raw_affiliation_strings":["MA National Institute of Technology, Bhopal, India"],"affiliations":[{"raw_affiliation_string":"MA National Institute of Technology, Bhopal, India","institution_ids":["https://openalex.org/I91277730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079521680","display_name":"Mahua Bhattacharya","orcid":"https://orcid.org/0000-0002-3996-9818"},"institutions":[{"id":"https://openalex.org/I9747756","display_name":"Atal Bihari Vajpayee Indian Institute of Information Technology and Management","ror":"https://ror.org/008b3ap06","country_code":"IN","type":"education","lineage":["https://openalex.org/I9747756"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mahua Bhattacharya","raw_affiliation_strings":["ABV Indian Institute of Information Technology and Management, Gwalior, Madhya Pradesh, India"],"affiliations":[{"raw_affiliation_string":"ABV Indian Institute of Information Technology and Management, Gwalior, Madhya Pradesh, India","institution_ids":["https://openalex.org/I9747756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009829659"],"corresponding_institution_ids":["https://openalex.org/I91277730"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.14748007,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"126","last_page":"129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/computer-science","display_name":"Computer science","score":0.6781668663024902},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6664170622825623},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6556835770606995},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.598613977432251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.576797366142273},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.562046468257904},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5506583452224731},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.536555290222168},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.506808340549469},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5038716197013855},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.49549877643585205},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.49109554290771484},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.4716046452522278},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.4379218518733978},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.424500048160553},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2697473168373108}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6781668663024902},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6664170622825623},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6556835770606995},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.598613977432251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.576797366142273},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.562046468257904},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5506583452224731},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.536555290222168},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.506808340549469},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5038716197013855},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.49549877643585205},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.49109554290771484},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.4716046452522278},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.4379218518733978},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.424500048160553},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2697473168373108},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1963564.1963585","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1963564.1963585","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.6200000047683716,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1502792772","https://openalex.org/W1531158519","https://openalex.org/W1557923305","https://openalex.org/W1969321740","https://openalex.org/W1979864442","https://openalex.org/W2036369250","https://openalex.org/W2068143551","https://openalex.org/W2103535650","https://openalex.org/W2113076747","https://openalex.org/W2119929398","https://openalex.org/W2155041554","https://openalex.org/W2164437025","https://openalex.org/W4236844765","https://openalex.org/W6645554888"],"related_works":["https://openalex.org/W2128126485","https://openalex.org/W1995889410","https://openalex.org/W4382563209","https://openalex.org/W2124952510","https://openalex.org/W1752760603","https://openalex.org/W2777937183","https://openalex.org/W2108633818","https://openalex.org/W1517037119","https://openalex.org/W2138664739","https://openalex.org/W4389779246"],"abstract_inverted_index":{"Remotely":[0],"sensed":[1],"Multispectral":[2],"Images":[3],"are":[4],"of":[5,11,25,52,74,91,114,121,129,152,163,165,171],"high":[6],"significance,":[7],"for":[8,23,174],"the":[9,37,69,77,95,99,112,119,127,130,169],"analysis":[10],"landscape":[12],"change":[13],"detection":[14],"and":[15,46,137],"land":[16],"use/cover":[17],"classification":[18],"etc.":[19],"A":[20],"Novel":[21],"method":[22,35,154,173],"Segmentation,":[24],"such":[26],"images":[27],"is":[28,83,104,159],"presented":[29,160,172],"in":[30,133,145,161],"this":[31,81],"paper.":[32],"The":[33,123,150],"proposed":[34,131,153],"collaborates":[36],"Fuzzy":[38,53],"Clustering":[39],"Algorithm":[40],"with":[41,55,68,106,155],"Rough":[42,56,101],"Set":[43],"theoretic":[44],"approach":[45],"a":[47,107],"convergence":[48],"improving":[49],"Mechanism.":[50],"Hybridization":[51],"Sets":[54,57],"results":[58],"into":[59],"an":[60,142],"unsupervised":[61],"framework":[62],"which":[63,116,140],"can":[64],"handle":[65],"uncertainties":[66],"associated":[67],"process,":[70],"while":[71],"allowing":[72],"overlapping":[73],"partitions":[75],"at":[76],"same":[78],"time.":[79,97],"But":[80],"process":[82],"time":[84,120,164],"taking,":[85],"due":[86],"to":[87,110,167],"highly":[88],"correlated":[89],"nature":[90],"dataset,":[92],"thereby":[93],"increasing":[94],"computation":[96],"Therefore,":[98],"Fuzzy-":[100],"hybrid":[102],"clustering":[103],"supplemented":[105],"suppression":[108],"mechanism":[109],"enhance":[111],"speed":[113],"convergence,":[115],"eventually":[117],"reduces":[118],"computation.":[122],"conducted":[124],"experiments":[125],"demonstrate":[126],"merits":[128],"algorithm":[132],"segmenting":[134],"small":[135],"objects":[136],"sharp":[138],"boundaries,":[139],"plays":[141],"important":[143],"role":[144],"remote-sensing":[146],"image":[147],"segmentation":[148],"applications.":[149,176],"comparison":[151],"other":[156],"similar":[157],"models":[158],"terms":[162],"computation,":[166],"prove":[168],"suitability":[170],"real-time":[175]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
