{"id":"https://openalex.org/W4238620694","doi":"https://doi.org/10.1142/s0219467813400081","title":"FUZZY CLUSTERING OF IMAGE TRADEMARK DATABASE AND PREPROCESSING USING ADAPTIVE FILTER AND KARHUNEN\u2013LO\u00c8VE TRANSFORM","display_name":"FUZZY CLUSTERING OF IMAGE TRADEMARK DATABASE AND PREPROCESSING USING ADAPTIVE FILTER AND KARHUNEN\u2013LO\u00c8VE TRANSFORM","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W4238620694","doi":"https://doi.org/10.1142/s0219467813400081"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467813400081","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467813400081","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-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/A5060766812","display_name":"Akriti Nigam","orcid":"https://orcid.org/0000-0002-4633-2823"},"institutions":[{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"AKRITI NIGAM","raw_affiliation_strings":["Indian Institute of Information Technology, Allahabad, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology, Allahabad, India","institution_ids":["https://openalex.org/I26072440"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056377601","display_name":"Ajay Kumar Indoria","orcid":"https://orcid.org/0000-0001-9566-3592"},"institutions":[{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"AJAY INDORIA","raw_affiliation_strings":["Indian Institute of Information Technology, Allahabad, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology, Allahabad, India","institution_ids":["https://openalex.org/I26072440"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034895116","display_name":"Ramesh C. Tripathi","orcid":"https://orcid.org/0000-0002-3302-7301"},"institutions":[{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. C. TRIPATHI","raw_affiliation_strings":["Indian Institute of Information Technology, Allahabad, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology, Allahabad, India","institution_ids":["https://openalex.org/I26072440"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060766812"],"corresponding_institution_ids":["https://openalex.org/I26072440"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36566237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"02","first_page":"1340008","last_page":"1340008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994000196456909,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994000196456909,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9872999787330627,"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/T10320","display_name":"Neural Networks and Applications","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/trademark","display_name":"Trademark","score":0.6361818313598633},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6289820075035095},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6208755373954773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5881664752960205},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.5247975587844849},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4786030948162079},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4767483174800873},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44856828451156616},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4340651035308838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42609140276908875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.387442022562027},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35759270191192627},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2790776491165161}],"concepts":[{"id":"https://openalex.org/C2779027411","wikidata":"https://www.wikidata.org/wiki/Q167270","display_name":"Trademark","level":2,"score":0.6361818313598633},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6289820075035095},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6208755373954773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5881664752960205},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5247975587844849},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4786030948162079},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4767483174800873},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44856828451156616},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4340651035308838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42609140276908875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.387442022562027},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35759270191192627},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2790776491165161},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467813400081","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467813400081","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320318053","display_name":"Indian Institute of Information Technology, Allahabad","ror":"https://ror.org/03rgjt374"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2014158866","https://openalex.org/W2019894188","https://openalex.org/W2027820131","https://openalex.org/W2072547093","https://openalex.org/W2089760990","https://openalex.org/W2098602682","https://openalex.org/W2100249676","https://openalex.org/W2104668394","https://openalex.org/W2105078888","https://openalex.org/W2114020525","https://openalex.org/W2160817147","https://openalex.org/W2164281064","https://openalex.org/W4231913388","https://openalex.org/W4256068510"],"related_works":["https://openalex.org/W4384856174","https://openalex.org/W4244820566","https://openalex.org/W2977662092","https://openalex.org/W2378475673","https://openalex.org/W4285545588","https://openalex.org/W2371230266","https://openalex.org/W4234523877","https://openalex.org/W2392759593","https://openalex.org/W4389567081","https://openalex.org/W1629127207"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"an":[3,39],"efficient":[4,119],"preprocessing":[5,28,112],"module":[6,29],"has":[7,107],"been":[8,108],"described":[9],"which":[10],"focuses":[11,30],"on":[12,31],"building":[13],"a":[14,23,115],"trademark":[15,24,36,53],"database":[16],"that":[17,50],"can":[18],"be":[19,83],"used":[20],"for":[21,85,91],"developing":[22],"retrieval":[25,116],"system.":[26],"The":[27],"noise":[32],"removal":[33],"from":[34],"the":[35,52,60,67,79,86,101],"images":[37],"using":[38,43],"adaptive":[40],"filtering":[41],"technique":[42],"Wiener":[44],"filters,":[45],"followed":[46],"by":[47,58],"Karhunen\u2013Lo\u00e8ve":[48],"transform":[49],"makes":[51],"search":[54,87,90,102],"process":[55],"rotation":[56],"invariant":[57],"rotating":[59],"object":[61],"along":[62],"positive":[63],"y":[64],"direction.":[65],"Since":[66],"registered":[68],"trademarks":[69],"are":[70],"huge":[71,95],"in":[72,78,93],"number":[73],"and":[74,120],"will":[75,82],"increase":[76],"invariantly":[77],"future":[80],"it":[81],"strenuous":[84],"system":[88,117],"to":[89,99],"similarity":[92],"such":[94],"database.":[96],"Intention":[97],"was":[98],"reduce":[100,121],"space":[103],"hence":[104],"fuzzy":[105],"clustering":[106],"applied.":[109],"All":[110],"these":[111],"steps":[113],"make":[114],"more":[118],"computation":[122],"cost.":[123]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}