{"id":"https://openalex.org/W2142730790","doi":"https://doi.org/10.1109/cis.2009.67","title":"Contour-Shape Recognition and Retrieval Based on Chain Code","display_name":"Contour-Shape Recognition and Retrieval Based on Chain Code","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2142730790","doi":"https://doi.org/10.1109/cis.2009.67","mag":"2142730790"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cis.2009.67","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5100747495","display_name":"Junding Sun","orcid":"https://orcid.org/0000-0001-7349-0248"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210166499"]},{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"funder","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sun Junding","raw_affiliation_strings":["Provincial Key Laboratory of Computer Information Processing Technology, Suzhou University, Suzhou, China","School of Computer Science and technology, Henan Polytechnic University, Jiaozuo, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and technology, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]},{"raw_affiliation_string":"Provincial Key Laboratory of Computer Information Processing Technology, Suzhou University, Suzhou, China","institution_ids":["https://openalex.org/I308837"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080806084","display_name":"Xu Heli","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Heli","raw_affiliation_strings":["School of Computer Science and technology, Henan Polytechnic University, Jiaozuo, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and technology, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.155,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":10,"citation_normalized_percentile":{"value":0.547051,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":84,"max":85},"biblio":{"volume":null,"issue":null,"first_page":"349","last_page":"352"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9997,"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":0.9997,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9971,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9872,"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/chain-code","display_name":"Chain code","score":0.85888654},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.42279834}],"concepts":[{"id":"https://openalex.org/C93058836","wikidata":"https://www.wikidata.org/wiki/Q1453572","display_name":"Chain code","level":3,"score":0.85888654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.67003036},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6525786},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.57796556},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5178807},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4906222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48949802},{"id":"https://openalex.org/C70992990","wikidata":"https://www.wikidata.org/wiki/Q1681587","display_name":"Systematic code","level":4,"score":0.4718461},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.42279834},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.42238644},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4065274},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34914994},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23270956},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.21195203},{"id":"https://openalex.org/C206468330","wikidata":"https://www.wikidata.org/wiki/Q834373","display_name":"Code rate","level":3,"score":0.17535225},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10364875},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.099335164},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0861817},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cis.2009.67","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":10,"referenced_works":["https://openalex.org/W1599801103","https://openalex.org/W2014121404","https://openalex.org/W2076779931","https://openalex.org/W2108611942","https://openalex.org/W2109506130","https://openalex.org/W2166492539","https://openalex.org/W2170633497","https://openalex.org/W2387036578","https://openalex.org/W3146107363","https://openalex.org/W4246482510"],"related_works":["https://openalex.org/W2373682079","https://openalex.org/W2360576622","https://openalex.org/W2334977182","https://openalex.org/W2307208417","https://openalex.org/W2240848044","https://openalex.org/W2142730790","https://openalex.org/W2042804080","https://openalex.org/W2035225487","https://openalex.org/W1495306810","https://openalex.org/W1030948203"],"abstract_inverted_index":{"The":[0,34,112],"direction":[1],"chain":[2,27,38,64,69,74],"code":[3,28,39,65,70,75],"has":[4],"been":[5],"widely":[6],"used":[7],"in":[8],"image":[9],"coding":[10],"and":[11,16,42,90,94],"recognition":[12],"for":[13,29],"its":[14],"simplicity":[15],"low":[17],"storage":[18],"requirement.":[19],"However,":[20],"the":[21,52,87,91,102,116],"researches":[22],"on":[23,105],"how":[24],"to":[25],"use":[26],"shape":[30,110],"retrieval":[31,36],"are":[32,80],"few.":[33],"traditional":[35],"methods,":[37],"histogram":[40],"(CCH)":[41],"Minimize":[43],"Sum":[44],"Statistical":[45],"Direction":[46],"Code":[47],"(MSSDC)":[48],"did":[49],"not":[50],"take":[51,83],"distribution":[53,66,77],"feature":[54,89],"into":[55],"consideration.":[56],"In":[57,97],"our":[58],"previous":[59],"work,":[60],"three":[61],"novel":[62],"descriptors,":[63],"vector":[67],"(CCDV),":[68],"relativity":[71,95],"entropy":[72,78],"(CCRE),":[73],"spatial":[76,93],"(CCSDE)":[79],"discussed":[81],"which":[82],"full":[84],"advantage":[85],"of":[86,109,118],"statistical":[88],"distribution,":[92],"feature.":[96],"this":[98],"paper,":[99],"we":[100],"compared":[101],"five":[103],"algorithms":[104],"a":[106],"large":[107],"set":[108],"database.":[111],"experimental":[113],"results":[114],"denote":[115],"efficiency":[117],"each":[119],"method.":[120]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2142730790","counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2025-03-19T09:03:50.075362","created_date":"2016-06-24"}