乐胖代购免代理版

{"id":"https://openalex.org/W1579353171","doi":"https://doi.org/10.1109/icpr.2000.906133","title":"Texture classification of gray-level images by multiscale cross co-occurrence matrices","display_name":"Texture classification of gray-level images by multiscale cross co-occurrence matrices","publication_year":2002,"publication_date":"2002-11-11","ids":{"openalex":"https://openalex.org/W1579353171","doi":"https://doi.org/10.1109/icpr.2000.906133","mag":"1579353171"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2000.906133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5001976473","display_name":"V. Metzler","orcid":null},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"funder","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"V. Metzler","raw_affiliation_strings":["Inst. for Signal Process., Med. Univ. of Lubeck, Germany"],"affiliations":[{"raw_affiliation_string":"Inst. for Signal Process., Med. Univ. of Lubeck, Germany","institution_ids":["https://openalex.org/I9341345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034546911","display_name":"Christoph Palm","orcid":"https://orcid.org/0000-0001-9468-2871"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"funder","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"C. Palm","raw_affiliation_strings":["Aachen Univ. of Technol."],"affiliations":[{"raw_affiliation_string":"Aachen Univ. of Technol.","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004153656","display_name":"Thomas Lehmann","orcid":"https://orcid.org/0000-0003-1104-7923"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"funder","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"T. Lehmann","raw_affiliation_strings":["Aachen Univ. of Technol."],"affiliations":[{"raw_affiliation_string":"Aachen Univ. of Technol.","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025661613","display_name":"Til Aach","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"T. Aach","raw_affiliation_strings":["Medical University of L?"],"affiliations":[{"raw_affiliation_string":"Medical University of L?","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.196,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":5,"citation_normalized_percentile":{"value":0.53989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":73,"max":75},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9971,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9971,"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":0.9936,"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":0.9546,"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/co-occurrence-matrix","display_name":"Co-occurrence matrix","score":0.67611367},{"id":"https://openalex.org/keywords/gray-level","display_name":"Gray level","score":0.588461},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5508438},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.47023886},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.44235772}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.73676825},{"id":"https://openalex.org/C117479156","wikidata":"https://www.wikidata.org/wiki/Q1543908","display_name":"Co-occurrence matrix","level":5,"score":0.67611367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.65496135},{"id":"https://openalex.org/C2985861186","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Gray level","level":3,"score":0.588461},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5508438},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5383272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5331169},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5099665},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.47023886},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.45737767},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.44235772},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40053502},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22613344},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22388786},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13167325},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.096289486},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.094592065}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2000.906133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.76,"id":"https://metadata.un.org/sdg/10"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":16,"referenced_works":["https://openalex.org/W1556635131","https://openalex.org/W1597264943","https://openalex.org/W2042243448","https://openalex.org/W2044465660","https://openalex.org/W2047799558","https://openalex.org/W2055953136","https://openalex.org/W2056328002","https://openalex.org/W2058438950","https://openalex.org/W2069646996","https://openalex.org/W2096987172","https://openalex.org/W2098347925","https://openalex.org/W2114059901","https://openalex.org/W2126397022","https://openalex.org/W2133155955","https://openalex.org/W2145560214","https://openalex.org/W4232200287"],"related_works":["https://openalex.org/W2390142724","https://openalex.org/W2380994097","https://openalex.org/W2369292282","https://openalex.org/W2367286358","https://openalex.org/W2354234745","https://openalex.org/W2353715202","https://openalex.org/W2085254577","https://openalex.org/W2001109438","https://openalex.org/W1996792633","https://openalex.org/W1966354130"],"abstract_inverted_index":{"Local":[0],"gray":[1,102],"level":[2,103],"dependencies":[3],"of":[4,12,18,72,84,101,107,118,130],"natural":[5,119],"images":[6],"can":[7],"be":[8],"modelled":[9],"by":[10,63],"means":[11],"co-occurrence":[13,65,133],"matrices":[14,66],"containing":[15],"joint":[16],"probabilities":[17],"gray-level":[19],"pairs.":[20],"Texture,":[21],"however,":[22],"is":[23,37,78,112],"a":[24,46,73],"resolution-dependent":[25],"phenomenon":[26],"and":[27,58,114],"hence,":[28],"classification":[29,117,128],"depends":[30],"on":[31,81,109,136],"the":[32,69,82,89,93,105,110,131],"chosen":[33],"scale.":[34],"Since":[35],"there":[36],"no":[38],"optimal":[39],"scale":[40,91],"for":[41,116],"all":[42],"textures":[43,138],"we":[44],"employ":[45],"multiscale":[47,64],"approach":[48,135],"that":[49,67],"acquires":[50],"textural":[51],"features":[52,86],"at":[53],"several":[54],"scales.":[55],"Thus":[56],"linear":[57],"nonlinear":[59],"scale-spaces":[60],"are":[61],"analyzed":[62],"describe":[68],"statistical":[70],"behavior":[71],"texture":[74,85],"in":[75],"scale-space.":[76],"Classification":[77],"then":[79],"performed":[80],"basis":[83],"taken":[87],"from":[88],"individual":[90],"with":[92],"highest":[94],"discriminatory":[95],"power.":[96],"By":[97],"considering":[98],"cross-scale":[99],"occurrences":[100],"pairs,":[104],"impact":[106],"filters":[108],"feature":[111],"described":[113],"used":[115],"textures.":[120],"This":[121],"novel":[122],"method":[123],"was":[124],"found":[125],"to":[126],"improve":[127],"rates":[129],"common":[132],"matrix":[134],"standard":[137],"significantly.":[139]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1579353171","counts_by_year":[],"updated_date":"2025-03-22T04:05:48.453076","created_date":"2016-06-24"}