{"id":"https://openalex.org/W2077015182","doi":"https://doi.org/10.1109/isda.2012.6416564","title":"Detection of insertion error parts in electronic boards using HSV color format","display_name":"Detection of insertion error parts in electronic boards using HSV color format","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2077015182","doi":"https://doi.org/10.1109/isda.2012.6416564","mag":"2077015182"},"language":"en","primary_location":{"id":"doi:10.1109/isda.2012.6416564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2012.6416564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)","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/A5029511927","display_name":"T. Mogi","orcid":null},"institutions":[{"id":"https://openalex.org/I158123994","display_name":"Toyo University","ror":"https://ror.org/059d6yn51","country_code":"JP","type":"education","lineage":["https://openalex.org/I158123994"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tomoya Mogi","raw_affiliation_strings":["Department of information and computer science, Toyo University, Saitama, Japan","Dept. of Inf. & Comput. Sci., Toyo Univ., Saitama, Japan"],"affiliations":[{"raw_affiliation_string":"Department of information and computer science, Toyo University, Saitama, Japan","institution_ids":["https://openalex.org/I158123994"]},{"raw_affiliation_string":"Dept. of Inf. & Comput. Sci., Toyo Univ., Saitama, Japan","institution_ids":["https://openalex.org/I158123994"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000007349","display_name":"Mitsuhiro Namekawa","orcid":null},"institutions":[{"id":"https://openalex.org/I2802051671","display_name":"Kaetsu University","ror":"https://ror.org/03x1wer98","country_code":"JP","type":"education","lineage":["https://openalex.org/I2802051671"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mitsuhiro Namekawa","raw_affiliation_strings":["Graduate School of Business Innovation, Kaetsu University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Business Innovation, Kaetsu University, Tokyo, Japan","institution_ids":["https://openalex.org/I2802051671"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103505406","display_name":"Yoshinori Ueda","orcid":null},"institutions":[{"id":"https://openalex.org/I158123994","display_name":"Toyo University","ror":"https://ror.org/059d6yn51","country_code":"JP","type":"education","lineage":["https://openalex.org/I158123994"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshinori Ueda","raw_affiliation_strings":["Faculty of Information Sciences and Arts, Toyo University, Saitama, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Sciences and Arts, Toyo University, Saitama, Japan","institution_ids":["https://openalex.org/I158123994"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029511927"],"corresponding_institution_ids":["https://openalex.org/I158123994"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.14256471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"357","last_page":"362"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9983000159263611,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9937999844551086,"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/hsl-and-hsv","display_name":"HSL and HSV","score":0.7394205927848816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6848641037940979},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6705343127250671},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6371176242828369},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3554772734642029}],"concepts":[{"id":"https://openalex.org/C36372059","wikidata":"https://www.wikidata.org/wiki/Q376492","display_name":"HSL and HSV","level":3,"score":0.7394205927848816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6848641037940979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6705343127250671},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6371176242828369},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3554772734642029},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.0},{"id":"https://openalex.org/C2522874641","wikidata":"https://www.wikidata.org/wiki/Q808","display_name":"Virus","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isda.2012.6416564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2012.6416564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1906361164","https://openalex.org/W2014405935","https://openalex.org/W2109868644","https://openalex.org/W2135582619","https://openalex.org/W2180025374","https://openalex.org/W2512798807","https://openalex.org/W6654025336","https://openalex.org/W6661897388","https://openalex.org/W6685768265"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,37],"detection":[4,57,97],"method":[5,108],"for":[6],"electronic":[7,10,25],"parts":[8,26,35,73,80],"from":[9],"board":[11],"images":[12,27],"using":[13],"HSV":[14],"color":[15],"format.":[16],"In":[17],"this":[18,54],"study,":[19],"we":[20,42,94,101],"can":[21,102],"pick":[22],"out":[23],"the":[24,30,34,56,69,72,76,79,84,96],"by":[28],"dividing":[29],"fixed":[31],"section.":[32],"If":[33,83],"have":[36],"low":[38],"level":[39],"of":[40,59,71,78,81],"saturation,":[41],"detect":[43,68],"only":[44],"two":[45],"colors":[46,61],"that":[47,74,105],"as":[48],"black":[49],"and":[50,99],"white.":[51],"To":[52],"use":[53],"method,":[55],"rate":[58],"other":[60],"is":[62,65,109],"improved.":[63],"It":[64],"possible":[66],"to":[67],"region":[70],"trace":[75],"borderline":[77],"color.":[82],"regions":[85],"are":[86],"overlapped,":[87],"they":[88],"combine":[89],"into":[90],"one":[91],"region.":[92],"Finally,":[93],"present":[95],"rate,":[98],"thus":[100],"be":[103],"certain":[104],"our":[106],"proposed":[107],"most":[110],"effective.":[111]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}