{"id":"https://openalex.org/W2141498000","doi":"https://doi.org/10.1109/kes.2000.885833","title":"Multiscale colour gradient for image segmentation","display_name":"Multiscale colour gradient for image segmentation","publication_year":2002,"publication_date":"2002-11-07","ids":{"openalex":"https://openalex.org/W2141498000","doi":"https://doi.org/10.1109/kes.2000.885833","mag":"2141498000"},"language":"en","primary_location":{"id":"doi:10.1109/kes.2000.885833","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kes.2000.885833","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516)","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/A5043277350","display_name":"Alfred Anwander","orcid":"https://orcid.org/0000-0002-4861-4808"},"institutions":[{"id":"https://openalex.org/I4210138704","display_name":"Centre de Recherche en Acquisition et Traitement de l'Image pour la Sant\u00e9","ror":"https://ror.org/03smk3872","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I4210095849","https://openalex.org/I4210100596","https://openalex.org/I4210105738","https://openalex.org/I4210138704","https://openalex.org/I4210159245","https://openalex.org/I4405259976","https://openalex.org/I48430043"]},{"id":"https://openalex.org/I48430043","display_name":"Institut National des Sciences Appliqu\u00e9es de Lyon","ror":"https://ror.org/050jn9y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I48430043"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"A. Anwander","raw_affiliation_strings":["CREATIS, INSA Lyon, Villeurbanne, France","Lafarge Cement, Viviers, France"],"affiliations":[{"raw_affiliation_string":"CREATIS, INSA Lyon, Villeurbanne, France","institution_ids":["https://openalex.org/I4210138704","https://openalex.org/I48430043"]},{"raw_affiliation_string":"Lafarge Cement, Viviers, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042932670","display_name":"B. Neyran","orcid":null},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"B. Neyran","raw_affiliation_strings":["LIGIM, University of Lyon I, Villeurbanne, France"],"affiliations":[{"raw_affiliation_string":"LIGIM, University of Lyon I, Villeurbanne, France","institution_ids":["https://openalex.org/I100532134"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113689275","display_name":"A. Baskurt","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138704","display_name":"Centre de Recherche en Acquisition et Traitement de l'Image pour la Sant\u00e9","ror":"https://ror.org/03smk3872","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I4210095849","https://openalex.org/I4210100596","https://openalex.org/I4210105738","https://openalex.org/I4210138704","https://openalex.org/I4210159245","https://openalex.org/I4405259976","https://openalex.org/I48430043"]},{"id":"https://openalex.org/I48430043","display_name":"Institut National des Sciences Appliqu\u00e9es de Lyon","ror":"https://ror.org/050jn9y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I48430043"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"A. Baskurt","raw_affiliation_strings":["CREATIS, INSA Lyon, Villeurbanne, France"],"affiliations":[{"raw_affiliation_string":"CREATIS, INSA Lyon, Villeurbanne, France","institution_ids":["https://openalex.org/I4210138704","https://openalex.org/I48430043"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043277350"],"corresponding_institution_ids":["https://openalex.org/I4210138704","https://openalex.org/I48430043"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.2031544,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"369","last_page":"372"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9972000122070312,"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":0.9972000122070312,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9916999936103821,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/image-gradient","display_name":"Image gradient","score":0.6655648946762085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6581057906150818},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6360262036323547},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6290518641471863},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6178630590438843},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.6089147925376892},{"id":"https://openalex.org/keywords/morphological-gradient","display_name":"Morphological gradient","score":0.5905707478523254},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5411853194236755},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5321758389472961},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46947750449180603},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4632689952850342},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4485902190208435},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2439921796321869},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.23033851385116577},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.17783471941947937},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.154837965965271},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10829028487205505},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.0987076461315155}],"concepts":[{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.6655648946762085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6581057906150818},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6360262036323547},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6290518641471863},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6178630590438843},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.6089147925376892},{"id":"https://openalex.org/C96133863","wikidata":"https://www.wikidata.org/wiki/Q6913458","display_name":"Morphological gradient","level":5,"score":0.5905707478523254},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5411853194236755},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5321758389472961},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46947750449180603},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4632689952850342},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4485902190208435},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2439921796321869},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.23033851385116577},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.17783471941947937},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.154837965965271},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10829028487205505},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0987076461315155}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kes.2000.885833","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kes.2000.885833","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W207434894","https://openalex.org/W1982446433","https://openalex.org/W2086921140","https://openalex.org/W2121494337","https://openalex.org/W2145023731","https://openalex.org/W2147469781","https://openalex.org/W2166278041","https://openalex.org/W2482265302","https://openalex.org/W2914396913","https://openalex.org/W4285719527","https://openalex.org/W6721887695"],"related_works":["https://openalex.org/W2352200706","https://openalex.org/W2959508763","https://openalex.org/W1991896712","https://openalex.org/W2383665989","https://openalex.org/W2369107151","https://openalex.org/W4210660906","https://openalex.org/W2378258130","https://openalex.org/W2392840155","https://openalex.org/W2362181716","https://openalex.org/W3027695373"],"abstract_inverted_index":{"We":[0,54,83],"present":[1,22],"a":[2,23,86],"new":[3],"gradient":[4,36,59,107],"model":[5,60],"for":[6,16,19,131],"colour":[7,27,43,52,98,106,115],"video":[8],"images.":[9],"Video":[10],"sources":[11],"have":[12],"the":[13,39,42,67,70,78,93,97,104,112,119,122,126,132],"characteristic,":[14],"either":[15],"transmission":[17],"or":[18],"storage,":[20],"to":[21,30,51,61,77,91,102,114],"reduced":[24],"bandwidth":[25],"of":[26,32,69,80,96,111,121,137,142],"components":[28,44,101],"compared":[29],"that":[31,85],"brightness.":[33],"Traditional":[34],"multispectral":[35],"operators":[37],"amplify":[38],"noise":[40],"from":[41],"and":[45,65,99],"they":[46],"are":[47],"not":[48],"very":[49],"sensitive":[50],"edges.":[53],"propose":[55],"an":[56],"adapted":[57],"vector":[58],"solve":[62],"this":[63],"problem":[64],"introduce":[66],"computation":[68],"partial":[71],"derivatives":[72],"at":[73],"different":[74],"scales":[75],"according":[76],"resolution":[79],"each":[81],"component.":[82],"show":[84],"weighting":[87],"function":[88],"is":[89,129],"necessary":[90],"control":[92],"relative":[94],"influence":[95],"brightness":[100],"obtain":[103],"multiscale":[105],"(MCG).":[108],"The":[109],"application":[110],"MCG":[113,127],"edge":[116],"detection":[117],"illustrates":[118],"advantages":[120],"proposed":[123],"method.":[124],"Finally,":[125],"image":[128],"used":[130],"segmentation":[133],"by":[134],"active":[135],"contours":[136],"crystals":[138],"in":[139],"microscopic":[140],"images":[141],"cement":[143],"clinker":[144],"(industrial":[145],"application).":[146]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}