{"id":"https://openalex.org/W1568069248","doi":"https://doi.org/10.1109/icdar.2003.1227760","title":"A component-labeling algorithm using contour tracing technique","display_name":"A component-labeling algorithm using contour tracing technique","publication_year":2005,"publication_date":"2005-04-12","ids":{"openalex":"https://openalex.org/W1568069248","doi":"https://doi.org/10.1109/icdar.2003.1227760","mag":"1568069248"},"language":"en","primary_location":{"id":"doi:10.1109/icdar.2003.1227760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2003.1227760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.","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/A5109143830","display_name":"Fu Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Fu Chang","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210098366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021261100","display_name":"Chun\u2010Jen Chen","orcid":"https://orcid.org/0000-0002-9211-8641"},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chun-Jen Chen","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210098366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210098366"],"apc_list":null,"apc_paid":null,"fwci":2.3083,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.89569321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"1","issue":null,"first_page":"741","last_page":"745"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9993000030517578,"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":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.6658700704574585},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6641698479652405},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5849010944366455},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4987211227416992},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4443114101886749},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4039939045906067},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34360432624816895},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.33846521377563477},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06132161617279053}],"concepts":[{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.6658700704574585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6641698479652405},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5849010944366455},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4987211227416992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4443114101886749},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4039939045906067},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34360432624816895},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.33846521377563477},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06132161617279053},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdar.2003.1227760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2003.1227760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.","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":25,"referenced_works":["https://openalex.org/W131259011","https://openalex.org/W1492301563","https://openalex.org/W1617701231","https://openalex.org/W1655554306","https://openalex.org/W1937214445","https://openalex.org/W1977465035","https://openalex.org/W1986022261","https://openalex.org/W2000804905","https://openalex.org/W2004350101","https://openalex.org/W2017787659","https://openalex.org/W2039866832","https://openalex.org/W2040398869","https://openalex.org/W2041995828","https://openalex.org/W2047839530","https://openalex.org/W2109965182","https://openalex.org/W2111933145","https://openalex.org/W2132549764","https://openalex.org/W2141815322","https://openalex.org/W2158008371","https://openalex.org/W2158240273","https://openalex.org/W2165585984","https://openalex.org/W2170452183","https://openalex.org/W2906189819","https://openalex.org/W4210602482","https://openalex.org/W6636681505"],"related_works":["https://openalex.org/W1821941829","https://openalex.org/W2358367725","https://openalex.org/W1601970798","https://openalex.org/W3158328920","https://openalex.org/W2166044122","https://openalex.org/W2973684081","https://openalex.org/W2079145677","https://openalex.org/W2363019469","https://openalex.org/W2391948073","https://openalex.org/W2329740314"],"abstract_inverted_index":{"A":[0],"new":[1,52],"method":[2,18,74,87],"for":[3],"finding":[4],"connected":[5],"components":[6,91],"frombinary":[7],"images":[8,66],"is":[9,19,85],"presented":[10],"in":[11,33],"this":[12,17,42],"article.":[13],"The":[14],"main":[15],"stepof":[16],"to":[20,31,102],"use":[21],"a":[22,44,51,86],"contour":[23],"tracing":[24],"technique":[25],"todetect":[26],"component":[27,37,95],"contours":[28],"and":[29,47],"also":[30,93],"fill":[32],"interior":[34],"areas.All":[35],"the":[36,80,97],"points":[38],"are":[39,48],"traced":[40],"by":[41],"algorithmin":[43],"single":[45],"pass":[46],"assigned":[49],"either":[50],"label":[53,56,110],"orthe":[54],"same":[55,98],"as":[57],"their":[58],"neighboring":[59],"pixels.":[60],"Experimentingon":[61],"various":[62],"types":[63],"of":[64],"document":[65],"(characters,":[67],"pictures,newspapers,":[68],"etc.),":[69],"we":[70],"find":[71],"that":[72,88,108],"our":[73],"outperformsthe":[75],"other":[76],"sequential":[77],"methods":[78],"using":[79],"equivalencetechnique.":[81],"Our":[82],"algorithm,":[83],"moreover,":[84],"notonly":[89],"labels":[90],"but":[92],"extracts":[94],"contoursat":[96],"time,":[99],"which":[100],"proves":[101],"be":[103],"more":[104],"usefulthan":[105],"those":[106],"algorithms":[107],"only":[109],"components.":[111]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":6}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}