{"id":"https://openalex.org/W2110045422","doi":"https://doi.org/10.1142/s0218001498000385","title":"Using Neural Networks to Detect Dominant Points in Chain-Coded Contours","display_name":"Using Neural Networks to Detect Dominant Points in Chain-Coded Contours","publication_year":1998,"publication_date":"1998-08-01","ids":{"openalex":"https://openalex.org/W2110045422","doi":"https://doi.org/10.1142/s0218001498000385","mag":"2110045422"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001498000385","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001498000385","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/A5109556172","display_name":"J.M. Sanchiz","orcid":null},"institutions":[{"id":"https://openalex.org/I10902133","display_name":"Universitat Jaume I","ror":"https://ror.org/02ws1xc11","country_code":"ES","type":"education","lineage":["https://openalex.org/I10902133"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. M. Sanchiz","raw_affiliation_strings":["Universitat Jaume I, Departament d'Inform\u00e0tica, Campus de Penyeta Roja, 12071 Castell\u00f3, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Jaume I, Departament d'Inform\u00e0tica, Campus de Penyeta Roja, 12071 Castell\u00f3, Spain","institution_ids":["https://openalex.org/I10902133"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025400834","display_name":"Filiberto Pla","orcid":"https://orcid.org/0000-0003-0054-3489"},"institutions":[{"id":"https://openalex.org/I10902133","display_name":"Universitat Jaume I","ror":"https://ror.org/02ws1xc11","country_code":"ES","type":"education","lineage":["https://openalex.org/I10902133"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"F. Pla","raw_affiliation_strings":["Universitat Jaume I, Departament d'Inform\u00e0tica, Campus de Penyeta Roja, 12071 Castell\u00f3, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Jaume I, Departament d'Inform\u00e0tica, Campus de Penyeta Roja, 12071 Castell\u00f3, Spain","institution_ids":["https://openalex.org/I10902133"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041459269","display_name":"Jos\u00e9 M. I\u00f1esta","orcid":"https://orcid.org/0000-0001-6184-4694"},"institutions":[{"id":"https://openalex.org/I10902133","display_name":"Universitat Jaume I","ror":"https://ror.org/02ws1xc11","country_code":"ES","type":"education","lineage":["https://openalex.org/I10902133"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. M. I\u00f1esta","raw_affiliation_strings":["Universitat Jaume I, Departament d'Inform\u00e0tica, Campus de Penyeta Roja, 12071 Castell\u00f3, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Jaume I, Departament d'Inform\u00e0tica, Campus de Penyeta Roja, 12071 Castell\u00f3, Spain","institution_ids":["https://openalex.org/I10902133"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5003,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.89792595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"05","first_page":"661","last_page":"675"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9983999729156494,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9983999729156494,"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/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.998199999332428,"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/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/chain-code","display_name":"Chain code","score":0.8749478459358215},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7481215000152588},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7418482303619385},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7146300077438354},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.6570172309875488},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5561043620109558},{"id":"https://openalex.org/keywords/chain","display_name":"Chain (unit)","score":0.5392720699310303},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5367864966392517},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5257871150970459},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48377367854118347},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4135053753852844},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.41028642654418945},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3645840287208557},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3234880268573761},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1740376353263855},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16851592063903809},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1088656485080719}],"concepts":[{"id":"https://openalex.org/C93058836","wikidata":"https://www.wikidata.org/wiki/Q1453572","display_name":"Chain code","level":3,"score":0.8749478459358215},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7481215000152588},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7418482303619385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7146300077438354},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.6570172309875488},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5561043620109558},{"id":"https://openalex.org/C199185054","wikidata":"https://www.wikidata.org/wiki/Q552299","display_name":"Chain (unit)","level":2,"score":0.5392720699310303},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5367864966392517},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5257871150970459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48377367854118347},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4135053753852844},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.41028642654418945},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3645840287208557},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3234880268573761},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1740376353263855},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16851592063903809},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1088656485080719},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001498000385","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001498000385","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":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1490782519","https://openalex.org/W1502662294","https://openalex.org/W1911904603","https://openalex.org/W1977931720","https://openalex.org/W2012275563","https://openalex.org/W2020187819","https://openalex.org/W2078376347","https://openalex.org/W2122741244","https://openalex.org/W2124220572","https://openalex.org/W2169415433","https://openalex.org/W2170633497","https://openalex.org/W2172263315","https://openalex.org/W2591472638","https://openalex.org/W2766736793"],"related_works":["https://openalex.org/W2375684291","https://openalex.org/W2354676191","https://openalex.org/W2909957174","https://openalex.org/W3188646203","https://openalex.org/W136674370","https://openalex.org/W2105527480","https://openalex.org/W2372223953","https://openalex.org/W1653623754","https://openalex.org/W2071395961","https://openalex.org/W2761777271"],"abstract_inverted_index":{"A":[0],"novel":[1],"approach":[2],"for":[3],"dominant":[4,65],"point":[5],"detection":[6],"in":[7],"chain-coded":[8],"contours":[9],"is":[10],"presented.":[11],"Classical":[12],"operations,":[13],"such":[14],"as":[15,123],"computing":[16],"a":[17,38,47,109,140],"measurement":[18,48],"of":[19,27,49,52,59,69,98,104,116,119,125],"the":[20,23,28,43,50,60,64,70,78,82,96,99,105,113,120,129],"curvature":[21,32],"from":[22,81],"(x,":[24],"y)":[25],"co-ordinates":[26],"contour":[29],"points,":[30],"finding":[31],"maxima,":[33],"etc.,":[34],"are":[35,73,92],"substituted":[36],"by":[37,135],"neural":[39,106],"network":[40,61,79],"that":[41,75,94,124],"traverses":[42],"contour,":[44],"and":[45,56,89],"gives":[46],"relevance":[51],"every":[53],"point.":[54],"Further":[55],"straight-forward":[57],"processing":[58],"output":[62],"provides":[63],"points.":[66],"Two":[67],"translations":[68],"Freeman":[71],"chain-code":[72],"presented,":[74],"easily":[76],"provide":[77],"input":[80],"chain":[83],"link":[84],"values.":[85],"Results":[86],"with":[87],"real":[88],"test":[90],"images":[91],"presented":[93],"show":[95],"feasibility":[97],"proposed":[100],"algorithm.":[101],"The":[102],"simulation":[103],"computations":[107,138],"on":[108,139],"sequential":[110],"machine":[111],"makes":[112],"execution":[114],"time":[115],"this":[117],"algorithm":[118],"same":[121],"order":[122],"existing":[126],"algorithms,":[127],"but":[128],"cost":[130],"can":[131],"be":[132],"significantly":[133],"reduced":[134],"executing":[136],"these":[137],"neural-oriented":[141],"hardware.":[142]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
