{"id":"https://openalex.org/W1965321261","doi":"https://doi.org/10.1080/00207160701250501","title":"Automatic colour\u2013texture image segmentation using active contours","display_name":"Automatic colour\u2013texture image segmentation using active contours","publication_year":2007,"publication_date":"2007-08-30","ids":{"openalex":"https://openalex.org/W1965321261","doi":"https://doi.org/10.1080/00207160701250501","mag":"1965321261"},"language":"en","primary_location":{"id":"doi:10.1080/00207160701250501","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207160701250501","pdf_url":null,"source":{"id":"https://openalex.org/S124867444","display_name":"International Journal of Computer Mathematics","issn_l":"0020-7160","issn":["0020-7160","1026-7425","1029-0265"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Mathematics","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/A5053426416","display_name":"Mohand Sa\u00efd Allili","orcid":"https://orcid.org/0000-0001-8736-6600"},"institutions":[{"id":"https://openalex.org/I135117807","display_name":"Universit\u00e9 de Sherbrooke","ror":"https://ror.org/00kybxq39","country_code":"CA","type":"education","lineage":["https://openalex.org/I135117807"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mohand Said Allili","raw_affiliation_strings":["Department of Computer Science, Faculty of Science , Sherbrooke, J1K 2R1, Quebec, Canada","Department of Computer Science, Faculty of Science, Sherbrooke, Quebec, Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Science , Sherbrooke, J1K 2R1, Quebec, Canada","institution_ids":["https://openalex.org/I135117807"]},{"raw_affiliation_string":"Department of Computer Science, Faculty of Science, Sherbrooke, Quebec, Canada#TAB#","institution_ids":["https://openalex.org/I135117807"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031338697","display_name":"Djemel Ziou","orcid":"https://orcid.org/0000-0003-4188-1361"},"institutions":[{"id":"https://openalex.org/I135117807","display_name":"Universit\u00e9 de Sherbrooke","ror":"https://ror.org/00kybxq39","country_code":"CA","type":"education","lineage":["https://openalex.org/I135117807"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Djemel Ziou","raw_affiliation_strings":["Department of Computer Science, Faculty of Science , Sherbrooke, J1K 2R1, Quebec, Canada","Department of Computer Science, Faculty of Science, Sherbrooke, Quebec, Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Science , Sherbrooke, J1K 2R1, Quebec, Canada","institution_ids":["https://openalex.org/I135117807"]},{"raw_affiliation_string":"Department of Computer Science, Faculty of Science, Sherbrooke, Quebec, Canada#TAB#","institution_ids":["https://openalex.org/I135117807"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5053426416"],"corresponding_institution_ids":["https://openalex.org/I135117807"],"apc_list":null,"apc_paid":null,"fwci":0.3246,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.59172265,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"84","issue":"9","first_page":"1325","last_page":"1338"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9980999827384949,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9865000247955322,"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/initialization","display_name":"Initialization","score":0.79416823387146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7121226787567139},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6623902916908264},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6271855235099792},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6071041822433472},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5972771048545837},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5948271155357361},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5796748399734497},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5695386528968811},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5634715557098389},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4878716468811035},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.45843228697776794},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4307391047477722},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.4263540208339691},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.362251341342926},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32151222229003906}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.79416823387146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7121226787567139},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6623902916908264},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6271855235099792},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6071041822433472},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5972771048545837},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5948271155357361},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5796748399734497},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5695386528968811},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5634715557098389},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4878716468811035},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.45843228697776794},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4307391047477722},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4263540208339691},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.362251341342926},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32151222229003906},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/00207160701250501","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207160701250501","pdf_url":null,"source":{"id":"https://openalex.org/S124867444","display_name":"International Journal of Computer Mathematics","issn_l":"0020-7160","issn":["0020-7160","1026-7425","1029-0265"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Mathematics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1523554224","https://openalex.org/W1593184316","https://openalex.org/W1603393710","https://openalex.org/W1917380066","https://openalex.org/W1970759520","https://openalex.org/W1973144176","https://openalex.org/W1991113069","https://openalex.org/W2003656434","https://openalex.org/W2007530600","https://openalex.org/W2010810556","https://openalex.org/W2031049553","https://openalex.org/W2049694710","https://openalex.org/W2075690349","https://openalex.org/W2098152234","https://openalex.org/W2108077184","https://openalex.org/W2116040950","https://openalex.org/W2121927366","https://openalex.org/W2124446947","https://openalex.org/W2135705692","https://openalex.org/W2137747622","https://openalex.org/W2142635246","https://openalex.org/W2158139302","https://openalex.org/W2158911078","https://openalex.org/W3100816363","https://openalex.org/W3211330693"],"related_works":["https://openalex.org/W2204605857","https://openalex.org/W2069318476","https://openalex.org/W3196005494","https://openalex.org/W2162746041","https://openalex.org/W2093085045","https://openalex.org/W2115198604","https://openalex.org/W2377721550","https://openalex.org/W2184524617","https://openalex.org/W1996489018","https://openalex.org/W2386159816"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,16],"propose":[4],"a":[5,43],"fully":[6,14],"automatic":[7,99],"segmentation":[8,56],"method":[9,90],"for":[10,47],"colour/texture":[11],"images.":[12],"By":[13],"automatic,":[15],"mean":[17],"that":[18,97],"the":[19,27,35,48,71,76,82,86,94,110],"steps":[20],"of":[21,26,29,45,50,101,114],"region":[22,38,67,73,78,87],"initialization":[23],"and":[24,52,66,80,104,116],"calculation":[25],"number":[28],"regions":[30],"are":[31],"performed":[32],"automatically":[33],"by":[34,59],"method.":[36],"The":[37,55,89],"information":[39],"is":[40,57,91],"formulated":[41],"using":[42,93,112],"mixture":[44,83],"pdfs":[46],"combination":[49],"colour":[51],"texture":[53],"features.":[54],"obtained":[58],"minimizing":[60],"an":[61],"energy":[62],"functional":[63],"combining":[64],"boundary":[65],"information,":[68],"which":[69],"evolves":[70],"initial":[72],"contours":[74],"towards":[75],"real":[77],"boundaries":[79],"adapts":[81],"parameters":[84],"to":[85],"data.":[88],"implemented":[92],"level":[95],"sets":[96],"permit":[98],"handling":[100],"topology":[102],"changes":[103],"stable":[105],"numerical":[106],"schemes.":[107],"We":[108],"validate":[109],"approach":[111],"examples":[113],"synthetic":[115],"natural":[117],"colour\u2013texture":[118],"image":[119],"segmentation.":[120]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
