{"id":"https://openalex.org/W2724177621","doi":"https://doi.org/10.1142/s0218001418540058","title":"The Adaptive Fractional Order Differential Model for Image Enhancement Based on Segmentation","display_name":"The Adaptive Fractional Order Differential Model for Image Enhancement Based on Segmentation","publication_year":2017,"publication_date":"2017-07-03","ids":{"openalex":"https://openalex.org/W2724177621","doi":"https://doi.org/10.1142/s0218001418540058","mag":"2724177621"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001418540058","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001418540058","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"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 Pattern Recognition and Artificial Intelligence","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/A5103155555","display_name":"Suqin Chen","orcid":"https://orcid.org/0000-0002-8090-7205"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Suqin Chen","raw_affiliation_strings":["School of Sciences, Xi\u2019an University of Technology, Xi\u2019an 710054, P. R. China","School of Sciences, Xi'an University of Technology, Xi'an 710054, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Sciences, Xi\u2019an University of Technology, Xi\u2019an 710054, P. R. China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Sciences, Xi'an University of Technology, Xi'an 710054, P. R. China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100329782","display_name":"Fengqun Zhao","orcid":"https://orcid.org/0000-0003-0312-6592"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengqun Zhao","raw_affiliation_strings":["School of Sciences, Xi\u2019an University of Technology, Xi\u2019an 710054, P. R. China","School of Sciences, Xi'an University of Technology, Xi'an 710054, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Sciences, Xi\u2019an University of Technology, Xi\u2019an 710054, P. R. China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Sciences, Xi'an University of Technology, Xi'an 710054, P. R. China","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103155555"],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":null,"apc_paid":null,"fwci":0.5461,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.75435881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"32","issue":"03","first_page":"1854005","last_page":"1854005"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9934999942779541,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9896000027656555,"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/piecewise","display_name":"Piecewise","score":0.6091786623001099},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5596625804901123},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5533984899520874},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5020284652709961},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.4858707785606384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4605042636394501},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45984163880348206},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4590979218482971},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4035838544368744},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39124763011932373},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38031721115112305}],"concepts":[{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.6091786623001099},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5596625804901123},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5533984899520874},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5020284652709961},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.4858707785606384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4605042636394501},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45984163880348206},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4590979218482971},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4035838544368744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39124763011932373},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38031721115112305},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001418540058","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001418540058","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"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 Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1535984234","https://openalex.org/W2027088760","https://openalex.org/W2028990532","https://openalex.org/W2057687252","https://openalex.org/W2080713489","https://openalex.org/W2090994189","https://openalex.org/W2097900287","https://openalex.org/W2107815783","https://openalex.org/W2121880036","https://openalex.org/W2123996346","https://openalex.org/W2150721269","https://openalex.org/W2164847484","https://openalex.org/W2165844808","https://openalex.org/W2171493089","https://openalex.org/W2313593612","https://openalex.org/W3102998284"],"related_works":["https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2922442631","https://openalex.org/W2168523118","https://openalex.org/W2385263368","https://openalex.org/W2048650277"],"abstract_inverted_index":{"For":[0],"image":[1,27,53,68,102,144],"enhancement":[2,28,38,145],"method":[3],"based":[4,85],"on":[5,86,146],"the":[6,16,20,26,37,40,45,51,67,72,76,81,92,95,98,112,121,128,147,173],"fractional":[7,21,99,125,139],"order":[8,18,62,123,140],"differential,":[9],"it":[10,32],"is":[11,33,54,69,107,151],"difficult":[12],"to":[13,35,63,80],"artificially":[14],"give":[15],"optimal":[17],"of":[19,39,47,94,97,115,124,149,170,175],"differential":[22,59,100,126,141],"which":[23],"can":[24,131],"make":[25],"effect":[29],"better,":[30],"and":[31,75,162],"hard":[34],"ensure":[36],"target":[41],"object":[42,73],"while":[43],"preserving":[44],"information":[46],"background":[48,77],"pixels":[49,116],"if":[50],"entire":[52],"filtered":[55],"by":[56,109,164],"a":[57,104,136],"fixed":[58],"order.":[60],"In":[61],"solve":[64],"this":[65],"problem,":[66],"segmented":[70],"into":[71],"area":[74,78],"according":[79],"Otsu":[82],"threshold":[83],"algorithm":[84,142],"Markov":[87],"Random":[88],"Field":[89],"firstly.":[90],"On":[91],"basis":[93,148],"principle":[96],"for":[101,143,160],"enhancement,":[103],"piecewise":[105],"function":[106],"established":[108],"combining":[110],"with":[111],"different":[113],"characteristics":[114],"in":[117,127],"each":[118],"area,":[119],"then":[120],"best":[122],"two":[129],"areas":[130],"be":[132],"determined":[133],"adaptively.":[134],"Thus,":[135],"novel":[137],"adaptive":[138],"segmentation":[150],"put":[152],"forward.":[153],"Several":[154],"fog-degraded":[155],"traffic":[156],"images":[157],"are":[158],"selected":[159],"experiments":[161],"processed":[163],"three":[165],"other":[166],"algorithms.":[167],"The":[168],"results":[169],"comparison":[171],"exhibit":[172],"superiority":[174],"our":[176],"algorithm.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}