{"id":"https://openalex.org/W1520557085","doi":"https://doi.org/10.1109/icip.2004.1418723","title":"Color segmentation of ink-characters: application to meat tracabeality control","display_name":"Color segmentation of ink-characters: application to meat tracabeality control","publication_year":2005,"publication_date":"2005-04-19","ids":{"openalex":"https://openalex.org/W1520557085","doi":"https://doi.org/10.1109/icip.2004.1418723","mag":"1520557085"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2004.1418723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2004.1418723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 International Conference on Image Processing, 2004. ICIP '04.","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/A5063490126","display_name":"Mich\u00e8le Gouiff\u00e8s","orcid":"https://orcid.org/0000-0002-7152-4640"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Gouiffes","raw_affiliation_strings":["Cemagref Rennes"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cemagref Rennes","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113680840","display_name":"C. Fern\u00e1ndez\u2010Maloigne","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C. Fernandez-Maloigne","raw_affiliation_strings":["IRCOM-SIC - CNRS 6615, Poitiers"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRCOM-SIC - CNRS 6615, Poitiers","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108828218","display_name":"Alain Tr\u00e9meau","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. Tremeau","raw_affiliation_strings":["LIGIV, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIGIV, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091068796","display_name":"Christophe Collewet","orcid":"https://orcid.org/0000-0001-8285-2212"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C. Collewet","raw_affiliation_strings":["Cemagref Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cemagref Rennes, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1264,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.48224417,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"195","last_page":"198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12388","display_name":"Identification and Quantification in Food","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12388","display_name":"Identification and Quantification in Food","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9502999782562256,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9390000104904175,"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/inkwell","display_name":"Inkwell","score":0.7827221155166626},{"id":"https://openalex.org/keywords/hue","display_name":"Hue","score":0.6695802807807922},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6052780747413635},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5600900650024414},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5299756526947021},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5208502411842346},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5073060393333435},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4619162082672119},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44119754433631897},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.43993133306503296},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41942059993743896}],"concepts":[{"id":"https://openalex.org/C109693293","wikidata":"https://www.wikidata.org/wiki/Q1496072","display_name":"Inkwell","level":2,"score":0.7827221155166626},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.6695802807807922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6052780747413635},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5600900650024414},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5299756526947021},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5208502411842346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5073060393333435},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4619162082672119},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44119754433631897},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.43993133306503296},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41942059993743896},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2004.1418723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2004.1418723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 International Conference on Image Processing, 2004. ICIP '04.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1550192491","https://openalex.org/W2000063966","https://openalex.org/W2027841141","https://openalex.org/W2038506056","https://openalex.org/W2076640017","https://openalex.org/W2077145165","https://openalex.org/W2111991188"],"related_works":["https://openalex.org/W4320518079","https://openalex.org/W2039822179","https://openalex.org/W4386771591","https://openalex.org/W2972873516","https://openalex.org/W2405125474","https://openalex.org/W2074864407","https://openalex.org/W2364223252","https://openalex.org/W1989502759","https://openalex.org/W2363908918","https://openalex.org/W2326635610"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3],"study":[4],"the":[5,9,21,28,37,56,63,67],"color":[6,42],"appearance":[7],"of":[8,49,78,83,95],"ink":[10,38,61,79],"printed":[11,59],"on":[12,62],"a":[13],"background,":[14],"according":[15],"to":[16,36,54,91],"both":[17],"its":[18],"concentration":[19,29,39,68],"and":[20,80,100],"background":[22],"color.":[23],"We":[24,52],"find":[25],"some":[26],"attributes,":[27],"quotients":[30,69],"ratios,":[31,70],"that":[32,97],"are":[33,98],"more":[34],"invariant":[35],"than":[40],"simple":[41],"attributes.":[43],"Our":[44],"work":[45],"deals":[46],"with":[47,60],"traceability":[48],"porcine":[50],"products.":[51],"have":[53],"detect":[55],"animal":[57],"identifier,":[58],"pork":[64,84],"rind.":[65,85],"Using":[66],"our":[71],"segmentation":[72],"technique":[73,87],"succeeds":[74],"for":[75],"any":[76,81,93],"quantity":[77],"hue":[82],"This":[86],"could":[88],"be":[89],"applied":[90],"segment":[92],"set":[94],"pixels,":[96],"colorimetrically":[99],"spatially":[101],"close,":[102],"but":[103],"not":[104],"necessarily":[105],"all":[106],"connected.":[107]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}