乐胖代购免代理版

{"id":"https://openalex.org/W2114463156","doi":"https://doi.org/10.1109/icassp.2010.5495406","title":"The angular orientation partition edge descriptor","display_name":"The angular orientation partition edge descriptor","publication_year":2010,"publication_date":"2010-03-01","ids":{"openalex":"https://openalex.org/W2114463156","doi":"https://doi.org/10.1109/icassp.2010.5495406","mag":"2114463156"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495406","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":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":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/A5027206341","display_name":"Ant\u00f3nio Pinheiro","orcid":"https://orcid.org/0000-0002-5968-9901"},"institutions":[{"id":"https://openalex.org/I161321875","display_name":"University of Beira Interior","ror":"https://ror.org/03nf36p02","country_code":"PT","type":"funder","lineage":["https://openalex.org/I161321875"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Antonio M. G. Pinheiro","raw_affiliation_strings":["Unidade de Detec\u00e7 \u00e3o Remota, Universidade da Beira Interior, 6200 Covilh\u00e3 - Portugal"],"affiliations":[{"raw_affiliation_string":"Unidade de Detec\u00e7 \u00e3o Remota, Universidade da Beira Interior, 6200 Covilh\u00e3 - Portugal","institution_ids":["https://openalex.org/I161321875"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5027206341"],"corresponding_institution_ids":["https://openalex.org/I161321875"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":64},"biblio":{"volume":null,"issue":null,"first_page":"1250","last_page":"1253"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9999,"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":0.9999,"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":0.9995,"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":0.9913,"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/similarity","display_name":"Similarity (geometry)","score":0.42711014}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.75052094},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.65960133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.64910567},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.61945754},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.60628015},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.57705176},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.57440597},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.55103797},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4589833},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4299676},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.42711014},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.4220605},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.41000056},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40121162},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29156834},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.111775726},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495406","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":11,"referenced_works":["https://openalex.org/W1566135517","https://openalex.org/W1610836425","https://openalex.org/W1973042860","https://openalex.org/W2091554307","https://openalex.org/W2109506130","https://openalex.org/W2113711458","https://openalex.org/W2145023731","https://openalex.org/W2151103935","https://openalex.org/W2166257042","https://openalex.org/W2177274842","https://openalex.org/W4252524561"],"related_works":["https://openalex.org/W3177930984","https://openalex.org/W2747088704","https://openalex.org/W2384288472","https://openalex.org/W2376984068","https://openalex.org/W2201969175","https://openalex.org/W2093596879","https://openalex.org/W2076896210","https://openalex.org/W2052697133","https://openalex.org/W2017257332","https://openalex.org/W1539573266"],"abstract_inverted_index":{"Edges":[0],"are":[1,11,28,48],"one":[2],"of":[3,21,73],"the":[4,22,99,119,138],"most":[5],"important":[6],"image":[7,23,35,60,63,75,105],"visual":[8],"features.":[9],"They":[10],"highly":[12],"related":[13],"with":[14,45,87,112,118,121],"shapes":[15],"and":[16,38,62,98],"can":[17,141],"also":[18,67],"be":[19,142],"representative":[20],"textures.":[24],"Edge":[25],"orientations":[26],"histograms":[27],"usually":[29],"very":[30],"reliable":[31,131],"descriptors":[32],"suitable":[33],"for":[34,104],"analysis,":[36],"search":[37],"retrieval.":[39],"In":[40],"this":[41,79,113],"work":[42],"edges":[43],"detected":[44],"Canny":[46],"algorithm":[47],"described":[49],"by":[50],"their":[51],"angular":[52],"orientations.":[53],"The":[54,90,108],"resulting":[55],"descriptor":[56],"is":[57,66,82,94,102,116],"resilient":[58,68],"to":[59,69],"rotation":[61],"translation.":[64],"It":[65],"noise.":[70],"An":[71],"example":[72],"automatic":[74,134],"semantic":[76,139],"annotation":[77,109],"using":[78,84],"description":[80,114,135],"method":[81,115],"reported":[83],"a":[85,130],"database":[86],"738":[88],"images.":[89],"K":[91],"Nearest":[92],"Neighbor":[93],"used":[95,103],"as":[96],"classifier":[97],"Manhattan":[100],"distance":[101],"similarity":[106],"computation.":[107],"that":[110,129],"results":[111],"compared":[117],"provided":[120],"other":[122],"well":[123],"known":[124],"descriptors.":[125],"These":[126],"examples":[127],"show":[128],"high":[132],"level":[133],"based":[136],"in":[137],"content":[140],"extracted.":[143]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2114463156","counts_by_year":[],"updated_date":"2025-01-24T09:17:28.407227","created_date":"2016-06-24"}