{"id":"https://openalex.org/W2022339497","doi":"https://doi.org/10.4304/jcp.7.7.1786-1795","title":"Optimization of Turbulence Image Chromatic Data based on Surface Construction and RANSAC Estimation","display_name":"Optimization of Turbulence Image Chromatic Data based on Surface Construction and RANSAC Estimation","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2022339497","doi":"https://doi.org/10.4304/jcp.7.7.1786-1795","mag":"2022339497"},"language":"en","primary_location":{"id":"doi:10.4304/jcp.7.7.1786-1795","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.7.7.1786-1795","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","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/A5034324975","display_name":"Zhongwei Liang","orcid":"https://orcid.org/0000-0002-7989-9260"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhongwei Liang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076337546","display_name":"YE Bang-yan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bangyan Ye","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5075029453","display_name":"Xiaochu Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaochu Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14696634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"7","issue":"7","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9936000108718872,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9936000108718872,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9728999733924866,"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":0.9550999999046326,"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/ransac","display_name":"RANSAC","score":0.8333116173744202},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6120449900627136},{"id":"https://openalex.org/keywords/turbulence","display_name":"Turbulence","score":0.518668532371521},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5043801069259644},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49549853801727295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4640440344810486},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.43963879346847534},{"id":"https://openalex.org/keywords/chromatic-scale","display_name":"Chromatic scale","score":0.4274097979068756},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28553828597068787},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10426446795463562},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.05705755949020386},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.05499807000160217}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.8333116173744202},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6120449900627136},{"id":"https://openalex.org/C196558001","wikidata":"https://www.wikidata.org/wiki/Q190132","display_name":"Turbulence","level":2,"score":0.518668532371521},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5043801069259644},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49549853801727295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4640440344810486},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.43963879346847534},{"id":"https://openalex.org/C196956537","wikidata":"https://www.wikidata.org/wiki/Q202021","display_name":"Chromatic scale","level":2,"score":0.4274097979068756},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28553828597068787},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10426446795463562},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.05705755949020386},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.05499807000160217},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jcp.7.7.1786-1795","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.7.7.1786-1795","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6499999761581421,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1987867370","https://openalex.org/W2005664438","https://openalex.org/W2048470371","https://openalex.org/W2072687359","https://openalex.org/W2080625741","https://openalex.org/W2340480757","https://openalex.org/W2364597191","https://openalex.org/W2418248522","https://openalex.org/W3022457207","https://openalex.org/W6716891523"],"related_works":["https://openalex.org/W2131378265","https://openalex.org/W2984240274","https://openalex.org/W2981196697","https://openalex.org/W2115876589","https://openalex.org/W1988708904","https://openalex.org/W2091196744","https://openalex.org/W3083084699","https://openalex.org/W2039208430","https://openalex.org/W3145778961","https://openalex.org/W428265845"],"abstract_inverted_index":{"For":[0],"the":[1,5,81,85,90,101,140],"purpose":[2],"of":[3,28,72,89,105,127,146],"meeting":[4],"requirement":[6],"for":[7,138],"image":[8,30,56,107,129,148],"chromatic":[9,31,50,73,92,102,130,141],"information":[10],"storage,":[11],"data":[12,25,32,51,74,103,131,142],"processing":[13],"and":[14,39,63,116,123,143],"transmission":[15],"in":[16,52,108,149],"turbulence":[17,29,48,106,128,147],"precise":[18],"detection,":[19],"this":[20],"paper":[21],"presents":[22],"a":[23],"new":[24],"optimization":[26,36,70,104,125],"method":[27,137],"based":[33],"on":[34],"energy":[35,69],"surface":[37,71,94,145],"construction":[38],"multi-order":[40,60,82,86],"Random":[41],"Sample":[42],"Consensus":[43],"(RANSAC)":[44],"estimation.":[45],"Though":[46],"extracting":[47],"image\u2019s":[49],"color-space,":[53],"we":[54],"compute":[55],"pixel\u2019s":[57],"normal":[58],"vector,":[59,66],"derivative":[61,65],"vector":[62,93,144],"partial":[64],"thus":[67],"an":[68,121,135],"can":[75,95,132],"be":[76,96,133],"structured;":[77],"subsequently,":[78],"by":[79],"expanding":[80],"RANSAC":[83,87,111],"estimation,":[84],"illustration":[88],"layered":[91],"realized,":[97],"which":[98],"contributes":[99],"to":[100],"different":[109,150],"dimensional":[110,151],"estimation":[112,152],"levels.":[113],"Optimization":[114],"experiment":[115],"performance":[117],"comparison":[118],"prove":[119],"that":[120],"effective":[122],"reliable":[124],"results":[126],"obtained,":[134],"efficient":[136],"studying":[139],"level":[153],"is":[154],"also":[155],"presented":[156]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
