{"id":"https://openalex.org/W2124525651","doi":"https://doi.org/10.1109/tcom.1985.1096361","title":"Encoding of Arbitrary Curves Based on the Chain Code Representation","display_name":"Encoding of Arbitrary Curves Based on the Chain Code Representation","publication_year":1985,"publication_date":"1985-07-01","ids":{"openalex":"https://openalex.org/W2124525651","doi":"https://doi.org/10.1109/tcom.1985.1096361","mag":"2124525651"},"language":"en","primary_location":{"id":"doi:10.1109/tcom.1985.1096361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcom.1985.1096361","pdf_url":null,"source":{"id":"https://openalex.org/S4210170832","display_name":"IRE Transactions on Communications Systems","issn_l":"0096-2244","issn":["0096-2244","2162-2132"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Communications","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/A5011756396","display_name":"T. Kaneko","orcid":"https://orcid.org/0000-0002-0951-875X"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"T. Kaneko","raw_affiliation_strings":["Visual Communication Applications Section, Yokosuka Electrical Communication Laboratory, Nippon Telegraph and Telephone Public Corporation, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Visual Communication Applications Section, Yokosuka Electrical Communication Laboratory, Nippon Telegraph and Telephone Public Corporation, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024032829","display_name":"M. Okudaira","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Okudaira","raw_affiliation_strings":["Visual Communication Applications Section, Yokosuka Electrical Communication Laboratory, Nippon Telegraph and Telephone Public Corporation, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Visual Communication Applications Section, Yokosuka Electrical Communication Laboratory, Nippon Telegraph and Telephone Public Corporation, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011756396"],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":1.3622,"has_fulltext":false,"cited_by_count":111,"citation_normalized_percentile":{"value":0.83426443,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"33","issue":"7","first_page":"697","last_page":"707"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":0.9998999834060669,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9998999834060669,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9829000234603882,"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/T10996","display_name":"Computational Geometry and Mesh Generation","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.8263871073722839},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.6718653440475464},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6590889692306519},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6504438519477844},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.5834263563156128},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5345194935798645},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5171613097190857},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4565044343471527},{"id":"https://openalex.org/keywords/chain","display_name":"Chain (unit)","score":0.4443250596523285},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43595802783966064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42643147706985474},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.21556580066680908},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14188340306282043},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07681187987327576},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05774879455566406}],"concepts":[{"id":"https://openalex.org/C93058836","wikidata":"https://www.wikidata.org/wiki/Q1453572","display_name":"Chain code","level":3,"score":0.8263871073722839},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.6718653440475464},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6590889692306519},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6504438519477844},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.5834263563156128},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5345194935798645},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5171613097190857},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4565044343471527},{"id":"https://openalex.org/C199185054","wikidata":"https://www.wikidata.org/wiki/Q552299","display_name":"Chain (unit)","level":2,"score":0.4443250596523285},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43595802783966064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42643147706985474},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.21556580066680908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14188340306282043},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07681187987327576},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05774879455566406},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcom.1985.1096361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcom.1985.1096361","pdf_url":null,"source":{"id":"https://openalex.org/S4210170832","display_name":"IRE Transactions on Communications Systems","issn_l":"0096-2244","issn":["0096-2244","2162-2132"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W246374635","https://openalex.org/W1976678415","https://openalex.org/W2003938193","https://openalex.org/W2131587693","https://openalex.org/W2135162882","https://openalex.org/W2170633497","https://openalex.org/W4251530686","https://openalex.org/W4285719527","https://openalex.org/W6609357461"],"related_works":["https://openalex.org/W2372223953","https://openalex.org/W2372020181","https://openalex.org/W2156531654","https://openalex.org/W4378714697","https://openalex.org/W2253069048","https://openalex.org/W1581723585","https://openalex.org/W2294330161","https://openalex.org/W2804553224","https://openalex.org/W1653623754","https://openalex.org/W1510159504"],"abstract_inverted_index":{"An":[0,83],"efficient":[1],"encoding":[2,17,117],"scheme":[3,18,56],"for":[4,113],"arbitrary":[5],"curves,":[6],"based":[7],"on":[8],"the":[9,22,55,60,100,114],"chain":[10,49,116],"code":[11,81,104],"representation,":[12],"has":[13,92],"been":[14],"proposed.":[15],"The":[16,51],"takes":[19],"advantage":[20],"of":[21,39,46,54,99,110],"property":[23],"that":[24,111],"a":[25,44,65,94],"curve":[26,35],"with":[27,85],"gentle":[28],"curvature":[29],"is":[30,41,106],"divided":[31],"into":[32],"somewhat":[33],"long":[34],"sections":[36],"(segments),":[37],"each":[38],"which":[40],"represented":[42],"by":[43],"sequence":[45],"two":[47],"adjacent-direction":[48],"codes.":[50],"coding":[52,67],"efficiency":[53],"becomes":[57],"higher":[58],"as":[59],"segments":[61,75],"become":[62],"longer,":[63],"while":[64],"variable-length":[66],"technique":[68],"makes":[69],"it":[70],"possible":[71],"to":[72],"encode":[73],"short":[74],"without":[76],"an":[77],"extreme":[78],"increase":[79],"in":[80],"amount.":[82],"experiment":[84],"complicated":[86],"curves":[87],"obtained":[88],"from":[89],"geographic":[90],"maps":[91],"shown":[93],"high":[95],"data":[96],"compression":[97],"rate":[98],"proposed":[101],"scheme,":[102],"whose":[103],"amount":[105],"about":[107],"50-60":[108],"percent":[109],"required":[112],"conventional":[115],"scheme.":[118]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
