{"id":"https://openalex.org/W2116279377","doi":"https://doi.org/10.1109/icarcv.2010.5707892","title":"An initial edge point selection and segmental contour following for object contour extraction","display_name":"An initial edge point selection and segmental contour following for object contour extraction","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2116279377","doi":"https://doi.org/10.1109/icarcv.2010.5707892","mag":"2116279377"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2010.5707892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2010.5707892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 11th International Conference on Control Automation Robotics & Vision","raw_type":"proceedings-article"},"type":"conference-paper","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/A5110946188","display_name":"Roy Chaoming Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I183570559","display_name":"National Chiayi University","ror":"https://ror.org/04gknbs13","country_code":"TW","type":"education","lineage":["https://openalex.org/I183570559"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Roy Chaoming Hsu","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Chiayi University, Chiayi, Taiwan","Department of Computer Science and Information Engineering, National Chiayi University, Chiayi City 60004, Taiwan.#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Chiayi University, Chiayi, Taiwan","institution_ids":["https://openalex.org/I183570559"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Chiayi University, Chiayi City 60004, Taiwan.#TAB#","institution_ids":["https://openalex.org/I183570559"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005931741","display_name":"Ping-Wen Kao","orcid":null},"institutions":[{"id":"https://openalex.org/I183570559","display_name":"National Chiayi University","ror":"https://ror.org/04gknbs13","country_code":"TW","type":"education","lineage":["https://openalex.org/I183570559"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ping-Wen Kao","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Chiayi University, Chiayi, Taiwan","Department of Computer Science and Information Engineering, National Chiayi University, Chiayi City 60004, Taiwan.#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Chiayi University, Chiayi, Taiwan","institution_ids":["https://openalex.org/I183570559"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Chiayi University, Chiayi City 60004, Taiwan.#TAB#","institution_ids":["https://openalex.org/I183570559"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014241300","display_name":"Wei-Jie Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I183570559","display_name":"National Chiayi University","ror":"https://ror.org/04gknbs13","country_code":"TW","type":"education","lineage":["https://openalex.org/I183570559"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Jie Lai","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Chiayi University, Chiayi, Taiwan","Department of Computer Science and Information Engineering, National Chiayi University, Chiayi City 60004, Taiwan.#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Chiayi University, Chiayi, Taiwan","institution_ids":["https://openalex.org/I183570559"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Chiayi University, Chiayi City 60004, Taiwan.#TAB#","institution_ids":["https://openalex.org/I183570559"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078448442","display_name":"Cheng-Ting Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I183570559","display_name":"National Chiayi University","ror":"https://ror.org/04gknbs13","country_code":"TW","type":"education","lineage":["https://openalex.org/I183570559"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Ting Liu","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Chiayi University, Chiayi, Taiwan","Department of Computer Science and Information Engineering, National Chiayi University, Chiayi City 60004, Taiwan.#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Chiayi University, Chiayi, Taiwan","institution_ids":["https://openalex.org/I183570559"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Chiayi University, Chiayi City 60004, Taiwan.#TAB#","institution_ids":["https://openalex.org/I183570559"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183570559"],"apc_list":null,"apc_paid":null,"fwci":0.5439,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.64540805,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"5103","issue":null,"first_page":"1632","last_page":"1637"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9994999766349792,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9972000122070312,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8030514717102051},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7784699201583862},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7116415500640869},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6348440051078796},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.610184907913208},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6049761176109314},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5571573972702026},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5199033617973328},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.5093485116958618},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47258269786834717},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4441075026988983},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43302100896835327},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.4314948320388794},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.43032363057136536},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3677304983139038},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18148791790008545}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8030514717102051},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7784699201583862},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7116415500640869},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6348440051078796},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.610184907913208},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6049761176109314},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5571573972702026},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5199033617973328},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.5093485116958618},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47258269786834717},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4441075026988983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43302100896835327},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.4314948320388794},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.43032363057136536},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3677304983139038},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18148791790008545},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2010.5707892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2010.5707892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 11th International Conference on Control Automation Robotics & Vision","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W83855834","https://openalex.org/W1860804040","https://openalex.org/W1984566355","https://openalex.org/W2011642808","https://openalex.org/W2022145937","https://openalex.org/W2033849769","https://openalex.org/W2101611113","https://openalex.org/W2104095591","https://openalex.org/W2119667607","https://openalex.org/W2128012041","https://openalex.org/W2145803225","https://openalex.org/W2163554343","https://openalex.org/W6603384776"],"related_works":["https://openalex.org/W2387003628","https://openalex.org/W2384347880","https://openalex.org/W4210537690","https://openalex.org/W2885157826","https://openalex.org/W1979702773","https://openalex.org/W2159463658","https://openalex.org/W2116510815","https://openalex.org/W2051067977","https://openalex.org/W17460865","https://openalex.org/W2372578044"],"abstract_inverted_index":{"Image":[0],"segmentation":[1,29],"is":[2,22,38,48,59],"a":[3,34],"technique":[4],"used":[5],"to":[6,104],"segment":[7],"region":[8],"of":[9,24,42,106],"interest":[10],"(ROI)":[11],"in":[12,78],"the":[13,25,56,66,71,95],"image":[14,17,28],"for":[15],"further":[16],"processing":[18],"applications.":[19],"Contour":[20],"extraction":[21,36,99],"one":[23],"most":[26],"important":[27],"methods.":[30],"In":[31],"this":[32],"paper,":[33],"contour":[35,61,86,98],"method":[37],"proposed,":[39],"which":[40,101],"consist":[41],"two":[43],"stages.":[44],"The":[45],"first":[46,72],"stage":[47,58],"automatic":[49],"initial":[50],"edge":[51,67],"point":[52],"selection":[53],"(IEPS),":[54],"and":[55],"second":[57],"segmental":[60],"following":[62],"(SCT)":[63],"based":[64],"on":[65],"points":[68],"obtained":[69,89],"at":[70],"stage.":[73],"Experiment":[74],"result":[75],"shows":[76],"that,":[77],"comparing":[79],"with":[80,90,112],"other":[81],"existing":[82],"methods,":[83],"more":[84],"accurate":[85],"can":[87],"be":[88],"low":[91],"computational":[92],"complexity":[93],"using":[94],"proposed":[96],"object":[97],"method,":[100],"will":[102],"benefit":[103],"applications":[105],"industrial":[107],"inspection":[108],"or":[109],"machine":[110],"vision":[111],"low-level":[113],"processor.":[114]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}