{"id":"https://openalex.org/W2241056133","doi":"https://doi.org/10.1109/fskd.2015.7382126","title":"Computer-aided design bitmap retrieval methods based on shape features","display_name":"Computer-aided design bitmap retrieval methods based on shape features","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2241056133","doi":"https://doi.org/10.1109/fskd.2015.7382126","mag":"2241056133"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2015.7382126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2015.7382126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","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/A5063984240","display_name":"Yuan Yin","orcid":"https://orcid.org/0000-0003-1515-0696"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuan Yin","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017471172","display_name":"Shengxiang Gao","orcid":"https://orcid.org/0000-0002-2980-8420"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengxiang Gao","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100619287","display_name":"Zhengtao Yu","orcid":"https://orcid.org/0000-0002-4012-461X"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengtao Yu","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, Kunming University of Science and Technology, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101408536","display_name":"Yunshan Zhang","orcid":"https://orcid.org/0000-0003-0778-105X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunshan Zhang","raw_affiliation_strings":["Yunnan Administration College, Computer Network Center, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Yunnan Administration College, Computer Network Center, Kunming, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063984240"],"corresponding_institution_ids":["https://openalex.org/I10660446"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13671218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"1275","last_page":"1279"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bitmap","display_name":"Bitmap","score":0.9651892185211182},{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.7124342322349548},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.703947901725769},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.568114697933197},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5667127370834351},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5455072522163391},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.5130957365036011},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.506346583366394},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4680316746234894},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39315930008888245},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33062946796417236},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1679667830467224},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.13922998309135437},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13098755478858948},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09952297806739807}],"concepts":[{"id":"https://openalex.org/C3115412","wikidata":"https://www.wikidata.org/wiki/Q1194708","display_name":"Bitmap","level":2,"score":0.9651892185211182},{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.7124342322349548},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.703947901725769},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.568114697933197},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5667127370834351},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5455072522163391},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.5130957365036011},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.506346583366394},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4680316746234894},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39315930008888245},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33062946796417236},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1679667830467224},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.13922998309135437},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13098755478858948},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09952297806739807}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2015.7382126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2015.7382126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2050685242","https://openalex.org/W2084587155","https://openalex.org/W2315323388","https://openalex.org/W2332975571","https://openalex.org/W2350554355","https://openalex.org/W2358499349","https://openalex.org/W2394233983","https://openalex.org/W2748218599","https://openalex.org/W2752519940","https://openalex.org/W7009229906"],"related_works":["https://openalex.org/W2350456333","https://openalex.org/W2101993108","https://openalex.org/W2356608866","https://openalex.org/W2355840328","https://openalex.org/W1975966184","https://openalex.org/W2137246017","https://openalex.org/W2364393392","https://openalex.org/W3126935378","https://openalex.org/W2377096008","https://openalex.org/W2809136181"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"computer-aided":[4],"design":[5],"(CAD)":[6],"bitmap":[7,106],"retrieval":[8],"method":[9],"based":[10],"the":[11,20,30,33,44,56,61,70],"on":[12],"shape":[13,92],"characteristics":[14],"of":[15,29,37,77],"CAD":[16,31,38,64,78,105],"bitmaps.":[17],"First,":[18],"using":[19,48,91,99],"Canny":[21],"edge":[22,27,34,45,59],"detection":[23],"algorithm":[24],"to":[25,43,54,69,83],"extract":[26],"shapes":[28],"bitmaps,":[32],"direction":[35],"histogram":[36],"bitmaps":[39,65,79],"are":[40,66,80],"constructed":[41],"according":[42,68,82],"shapes.":[46],"Next,":[47],"Euclidean":[49],"distance":[50],"and":[51],"cosine":[52],"value":[53],"calculate":[55],"distances":[57,71],"between":[58,63,72],"histograms,":[60],"similarities":[62],"obtained":[67,81],"histograms.":[73],"Finally,":[74],"sorting":[75],"series":[76],"similarity":[84],"values.":[85],"The":[86],"experimental":[87],"results":[88,94],"show":[89],"that":[90],"features":[93,103],"in":[95],"better":[96],"effects":[97],"than":[98],"color":[100],"or":[101],"texture":[102],"for":[104],"retrieval.":[107]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}