{"id":"https://openalex.org/W4255759141","doi":"https://doi.org/10.1109/icpr.2004.1334223","title":"Image analysis through local information measures","display_name":"Image analysis through local information measures","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4255759141","doi":"https://doi.org/10.1109/icpr.2004.1334223"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1334223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334223","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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/A5010617598","display_name":"N. Bruce","orcid":null},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"N. Bruce","raw_affiliation_strings":["Department of Computer Science and Centre for Vision Research, York University, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Centre for Vision Research, York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5010617598"],"corresponding_institution_ids":["https://openalex.org/I192455969"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.38034865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"21","issue":null,"first_page":"616","last_page":"619 Vol.1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9779999852180481,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6679597496986389},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6506704092025757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5708552002906799},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5684024691581726},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5416430234909058},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5112543106079102},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.49496906995773315},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4547348618507385},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3771243691444397},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3369976878166199},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3041369318962097}],"concepts":[{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6679597496986389},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6506704092025757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5708552002906799},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5684024691581726},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5416430234909058},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5112543106079102},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.49496906995773315},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4547348618507385},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3771243691444397},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3369976878166199},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3041369318962097},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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:10.1109/icpr.2004.1334223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334223","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":5,"referenced_works":["https://openalex.org/W2105909330","https://openalex.org/W2145889472","https://openalex.org/W2146474141","https://openalex.org/W2152752164","https://openalex.org/W2993383518"],"related_works":["https://openalex.org/W2357256365","https://openalex.org/W2348502264","https://openalex.org/W2365486383","https://openalex.org/W2362059367","https://openalex.org/W2350084742","https://openalex.org/W2901443725","https://openalex.org/W2357988862","https://openalex.org/W1855558850","https://openalex.org/W1852677413","https://openalex.org/W1522196789"],"abstract_inverted_index":{"The":[0],"properties":[1],"of":[2,31,41,46,50,61,65,75,84,92,94],"local":[3],"image":[4,16,78,88],"statistics":[5],"are":[6,18,27],"analyzed":[7],"in":[8,23],"a":[9,21,36,62,73],"classic":[10],"information":[11],"theoretic":[12],"setting.":[13],"Local":[14],"spatiochromatic":[15],"elements":[17],"projected":[19],"into":[20],"space":[22],"which":[24],"constituent":[25],"components":[26],"independent":[28,32],"by":[29],"way":[30],"component":[33],"analysis,":[34],"allowing":[35,80],"fast":[37],"and":[38,90],"tractable":[39],"means":[40],"considering":[42],"the":[43,59],"joint":[44],"likelihood":[45,52],"such":[47],"statistics.":[48,66],"Observation":[49],"this":[51],"allows":[53],"inferences":[54],"to":[55,71],"be":[56],"made":[57],"regarding":[58],"informativeness":[60],"particular":[63],"set":[64],"This":[67],"operation":[68],"is":[69],"shown":[70],"illuminate":[72],"number":[74],"perceptually":[76],"important":[77],"properties,":[79],"figure-ground":[81],"segmentation,":[82],"removal":[83],"common":[85],"or":[86],"expected":[87],"elements,":[89],"prediction":[91],"regions":[93],"interest.":[95]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
