{"id":"https://openalex.org/W3188712865","doi":"https://doi.org/10.1109/fuzz45933.2021.9494443","title":"Multilevel Color Image Segmentation using Modified Fuzzy Entropy and Cuckoo Search Algorithm","display_name":"Multilevel Color Image Segmentation using Modified Fuzzy Entropy and Cuckoo Search Algorithm","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3188712865","doi":"https://doi.org/10.1109/fuzz45933.2021.9494443","mag":"3188712865"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz45933.2021.9494443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz45933.2021.9494443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 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/A5046704643","display_name":"S. Pare","orcid":"https://orcid.org/0000-0002-2468-0667"},"institutions":[{"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":true,"raw_author_name":"Shreya Pare","raw_affiliation_strings":["School of Computer Science, FEIT, University of Technology Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, FEIT, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006355592","display_name":"Mukesh Prasad","orcid":"https://orcid.org/0000-0002-7745-9667"},"institutions":[{"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":"Mukesh Prasad","raw_affiliation_strings":["School of Computer Science, FEIT, University of Technology Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, FEIT, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053366157","display_name":"Deepak Puthal","orcid":"https://orcid.org/0000-0002-8332-278X"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Deepak Puthal","raw_affiliation_strings":["School of Computing, Newcastle University, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Computing, Newcastle University, United Kingdom","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034853815","display_name":"Deepak Gupta","orcid":"https://orcid.org/0000-0002-3019-7161"},"institutions":[{"id":"https://openalex.org/I57496824","display_name":"National Institute of Technology Arunachal Pradesh","ror":"https://ror.org/020cr8c43","country_code":"IN","type":"education","lineage":["https://openalex.org/I57496824"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Deepak Gupta","raw_affiliation_strings":["National Institute of Technology, Arunachal Pradesh, India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Arunachal Pradesh, India","institution_ids":["https://openalex.org/I57496824"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109254998","display_name":"Anand Malik","orcid":null},"institutions":[{"id":"https://openalex.org/I110166357","display_name":"University of Delhi","ror":"https://ror.org/04gzb2213","country_code":"IN","type":"education","lineage":["https://openalex.org/I110166357"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anand Malik","raw_affiliation_strings":["SSNC College, University of Delhi, Delhi, India"],"affiliations":[{"raw_affiliation_string":"SSNC College, University of Delhi, Delhi, India","institution_ids":["https://openalex.org/I110166357"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029484051","display_name":"Amit Saxena","orcid":"https://orcid.org/0000-0002-5888-4246"},"institutions":[{"id":"https://openalex.org/I26285277","display_name":"Guru Ghasidas Vishwavidyalaya","ror":"https://ror.org/05bvxq496","country_code":"IN","type":"education","lineage":["https://openalex.org/I26285277"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amit Saxena","raw_affiliation_strings":["Guru Ghasidas University, Bilaspur, India"],"affiliations":[{"raw_affiliation_string":"Guru Ghasidas University, Bilaspur, India","institution_ids":["https://openalex.org/I26285277"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5046704643"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":0.6233,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71915408,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"174","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9972000122070312,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9972000122070312,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9908999800682068,"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":0.9901000261306763,"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/cuckoo-search","display_name":"Cuckoo search","score":0.8103863000869751},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.703827440738678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.660325288772583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5009331703186035},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.48671939969062805},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4727673828601837},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.46653181314468384},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4657346308231354},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4655146598815918},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4498894214630127},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.4424362778663635},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39412921667099},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.3728213906288147},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35550740361213684},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.17650383710861206}],"concepts":[{"id":"https://openalex.org/C117241572","wikidata":"https://www.wikidata.org/wiki/Q5192379","display_name":"Cuckoo search","level":3,"score":0.8103863000869751},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.703827440738678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.660325288772583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5009331703186035},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.48671939969062805},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4727673828601837},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.46653181314468384},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4657346308231354},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4655146598815918},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4498894214630127},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4424362778663635},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39412921667099},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3728213906288147},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35550740361213684},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.17650383710861206},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz45933.2021.9494443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz45933.2021.9494443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1200012287","https://openalex.org/W1965118480","https://openalex.org/W1972544340","https://openalex.org/W1975873867","https://openalex.org/W1983082708","https://openalex.org/W1992890548","https://openalex.org/W2083827484","https://openalex.org/W2096152340","https://openalex.org/W2121766492","https://openalex.org/W2132839152","https://openalex.org/W2154898948","https://openalex.org/W2170864621","https://openalex.org/W2203598720","https://openalex.org/W2282767445","https://openalex.org/W2330355529","https://openalex.org/W2340583188","https://openalex.org/W2461478180","https://openalex.org/W2471685727","https://openalex.org/W2790206699","https://openalex.org/W2997838783","https://openalex.org/W3000256619","https://openalex.org/W3131675218","https://openalex.org/W3135347119","https://openalex.org/W6695557765","https://openalex.org/W6790858758"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W2290210067","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2372421320"],"abstract_inverted_index":{"To":[0,56],"handle":[1],"the":[2,27,54,64,94,97,103,121],"fuzziness":[3],"and":[4,31,49,59,76,111,116,128],"spatial":[5,50],"uncertainties":[6],"among":[7,53],"pixels":[8],"entailed":[9],"in":[10],"color":[11,86,113,131],"images,":[12],"this":[13],"paper":[14],"proposes":[15],"a":[16],"novel":[17],"fuzzy":[18,33,42],"entropy":[19,34,43],"function":[20,44],"for":[21,130],"multi-threshold":[22],"image":[23,87,132],"segmentation":[24,89],"based":[25,40,79],"on":[26],"energy":[28,38],"curve":[29,39],"concept":[30],"minimum":[32],"criterion.":[35],"The":[36,100],"proposed":[37,98,104,122],"new":[41],"(ECFE)":[45],"considers":[46],"intensity":[47],"distribution":[48],"contextual":[51],"information":[52],"pixels.":[55],"improve":[57],"efficiency":[58],"threshold":[60],"selection":[61],"process":[62],"of":[63,96,102],"method,":[65],"cuckoo":[66],"search":[67,74],"algorithm":[68,81,123],"is":[69,106,124],"employed.":[70],"For":[71],"comparison,":[72],"backtracking":[73],"algorithm,":[75],"L\u00e9vy":[77],"flight":[78],"firefly":[80],"included.":[82],"Comparison":[83],"with":[84],"recent":[85],"multilevel":[88,133],"techniques":[90],"presented":[91],"to":[92],"test":[93],"effectiveness":[95],"algorithm.":[99],"performance":[101],"technique":[105],"evaluated":[107],"using":[108],"different":[109],"satellite":[110],"natural":[112],"images.":[114],"Quantitative":[115],"qualitative":[117],"results":[118],"demonstrate":[119],"that":[120],"highly":[125],"accurate,":[126],"robust,":[127],"efficient":[129],"segmentation.":[134]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}