{"id":"https://openalex.org/W4399658367","doi":"https://doi.org/10.1145/3641584.3641599","title":"Minimum Cumulative Residual Information Energy Thresholding on Circular Histogram","display_name":"Minimum Cumulative Residual Information Energy Thresholding on Circular Histogram","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4399658367","doi":"https://doi.org/10.1145/3641584.3641599"},"language":"en","primary_location":{"id":"doi:10.1145/3641584.3641599","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1145/3641584.3641599","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3641584.3641599?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3641584.3641599?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5099124620","display_name":"Jing Liu","orcid":"https://orcid.org/0000-0002-9421-6739"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Liu","raw_affiliation_strings":["Xi'an University of Posts &amp; Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-9421-6739","affiliations":[{"raw_affiliation_string":"Xi'an University of Posts &amp; Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103152228","display_name":"Jiulun Fan","orcid":"https://orcid.org/0000-0003-3697-3691"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiulun Fan","raw_affiliation_strings":["Xi'an University of Posts &amp; Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0003-3697-3691","affiliations":[{"raw_affiliation_string":"Xi'an University of Posts &amp; Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108943153","display_name":"Jinjing Ai","orcid":"https://orcid.org/0009-0009-2931-7929"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinjing Ai","raw_affiliation_strings":["Xi'an University of Posts &amp; Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0009-2931-7929","affiliations":[{"raw_affiliation_string":"Xi'an University of Posts &amp; Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5099124620"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21821736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"95","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":0.9810000061988831,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9810000061988831,"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":0.9800000190734863,"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"}},{"id":"https://openalex.org/T13062","display_name":"Cognitive Computing and Networks","score":0.9779000282287598,"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/thresholding","display_name":"Thresholding","score":0.8328148126602173},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.8117794990539551},{"id":"https://openalex.org/keywords/balanced-histogram-thresholding","display_name":"Balanced histogram thresholding","score":0.6833371520042419},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6545437574386597},{"id":"https://openalex.org/keywords/histogram-matching","display_name":"Histogram matching","score":0.5362581014633179},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48760858178138733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4791354835033417},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4771508574485779},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.41466575860977173},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40923625230789185},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3293558955192566},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32438504695892334},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21668383479118347},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13565608859062195}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.8328148126602173},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.8117794990539551},{"id":"https://openalex.org/C202577368","wikidata":"https://www.wikidata.org/wiki/Q2576067","display_name":"Balanced histogram thresholding","level":5,"score":0.6833371520042419},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6545437574386597},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.5362581014633179},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48760858178138733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4791354835033417},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4771508574485779},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.41466575860977173},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40923625230789185},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3293558955192566},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32438504695892334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21668383479118347},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13565608859062195}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3641584.3641599","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1145/3641584.3641599","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3641584.3641599?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3641584.3641599","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1145/3641584.3641599","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3641584.3641599?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G8249765525","display_name":"\u5706\u5f62\u76f4\u65b9\u56fe\u9608\u503c\u5206\u5272\u6cd5\u7814\u7a76","funder_award_id":"62071378","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399658367.pdf","grobid_xml":"https://content.openalex.org/works/W4399658367.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1966185718","https://openalex.org/W1983874169","https://openalex.org/W1995875735","https://openalex.org/W2000935414","https://openalex.org/W2006327073","https://openalex.org/W2022445281","https://openalex.org/W2033413929","https://openalex.org/W2071836643","https://openalex.org/W2077584138","https://openalex.org/W2104497863","https://openalex.org/W2126391818","https://openalex.org/W2133003941","https://openalex.org/W2171735856","https://openalex.org/W2979647317","https://openalex.org/W2998841290","https://openalex.org/W3041667149","https://openalex.org/W3137148499","https://openalex.org/W3170877573","https://openalex.org/W4200109163","https://openalex.org/W4205094460","https://openalex.org/W4286490381","https://openalex.org/W4291518470","https://openalex.org/W4295795209"],"related_works":["https://openalex.org/W2122667464","https://openalex.org/W2106731176","https://openalex.org/W2387104004","https://openalex.org/W2054831422","https://openalex.org/W2147223569","https://openalex.org/W2027647405","https://openalex.org/W2146297113","https://openalex.org/W1994424557","https://openalex.org/W2902098370","https://openalex.org/W4283267580"],"abstract_inverted_index":{"Shannon":[0,16,30,45],"used":[1,19,79],"logarithmic":[2],"operation":[3],"and":[4,78],"probability":[5,26],"distribution":[6,21,27],"function":[7,22,28],"to":[8,12,23,32,36,44,51,70,80],"define":[9,33],"a":[10,49,67,101,104],"way":[11,35,50,69],"measure":[13,37,52,71],"information":[14,38,57,65,75],"uncertainty:":[15,39],"entropy.":[17,42],"Rao":[18],"cumulative":[20,40,63],"replace":[24],"the":[25,53,72,88,93,109,119,123,130,135,138,143],"of":[29,55,61,74,96,112,122],"entropy":[31],"another":[34],"residual":[41,64],"Corresponding":[43],"entropy,":[46],"Onicescu":[47],"defined":[48],"certainty":[54,73],"information:":[56],"energy.":[58],"In":[59],"view":[60],"these,":[62],"energy,":[66],"new":[68],"is":[76,100,115,146],"proposed":[77,124,144],"thresholding":[81,125,132],"segmentation":[82,126],"based":[83,107],"on":[84,108,134],"H":[85,94],"component":[86,95],"in":[87],"HSI":[89,97],"color":[90,98],"model.":[91],"Since":[92],"model":[99],"circular":[102,113,136],"histogram,":[103,137],"recursive":[105],"algorithm":[106],"periodic":[110],"characteristics":[111],"histogram":[114],"given,":[116],"which":[117],"improves":[118],"computational":[120],"efficiency":[121],"method.":[127],"Compared":[128],"with":[129],"related":[131],"methods":[133],"experimental":[139],"results":[140],"show":[141],"that":[142],"method":[145],"effective.":[147]},"counts_by_year":[],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}
