Index and Recognition for the Shape Contour of Plant Leaves

Content-based image retrieval methods are used to construct systems to retrieve and classify plants' leaves. The target of this paper is to balance matching veracity and computing efficiency and to improve the process of extracting feature. This paper focuses on the shape feature of the image....

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:2009 WRI Global Congress on Intelligent Systems Ročník 4; s. 436 - 440
Hlavní autoři: Xun Liu, Keyi Hou, Liliang Wang, Ping Liu
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.05.2009
Témata:
Content based retrieval
Educational institutions
Feature extraction
Image databases
Image matching
Image recognition
Image retrieval
Intelligent systems
KMP fuzzy matching algorithm
mountain climbing sequence images
plant leaf index
Process design
Shape
ISBN:9780769535715, 0769535712
ISSN:2155-6083
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract Content-based image retrieval methods are used to construct systems to retrieve and classify plants' leaves. The target of this paper is to balance matching veracity and computing efficiency and to improve the process of extracting feature. This paper focuses on the shape feature of the image. The work we have finished includes in the process of choosing feature and using numerical sequence of image features to solve the question about the irrespective of image featurepsilas circumrotating transformation. In the design process, we adopt general content-based image retrieval framework. So, result of this paper is used to plant leavespsila classifying and recognizing.
AbstractList Content-based image retrieval methods are used to construct systems to retrieve and classify plants' leaves. The target of this paper is to balance matching veracity and computing efficiency and to improve the process of extracting feature. This paper focuses on the shape feature of the image. The work we have finished includes in the process of choosing feature and using numerical sequence of image features to solve the question about the irrespective of image featurepsilas circumrotating transformation. In the design process, we adopt general content-based image retrieval framework. So, result of this paper is used to plant leavespsila classifying and recognizing.
Author Xun Liu
Liliang Wang
Ping Liu
Keyi Hou
Author_xml – sequence: 1
  surname: Xun Liu
  fullname: Xun Liu
  organization: Comput. Coll., Sichuan Univ., Chengdu, China
– sequence: 2
  surname: Keyi Hou
  fullname: Keyi Hou
– sequence: 3
  surname: Liliang Wang
  fullname: Liliang Wang
  organization: Comput. Coll., Sichuan Univ., Chengdu, China
– sequence: 4
  surname: Ping Liu
  fullname: Ping Liu
  organization: Comput. Coll., Sichuan Univ., Chengdu, China
BookMark eNotjMFKAzEUAAO2YFt79OQlP7D1JdmXbPAki9ZCQbF6LunmPbtSk7K7iv69BZ3LXIaZilHKiYS4VLBQCvz1sl5tFhrAL5S2Z2LuXQXOejToFI7ERCvEwkJlxmJ6yiqvlNHqXMz7_h1OlAbRuYm4WaVI3zKkKJ-pyW-pHdqcJOdODnuSm304kqxzGvJnJzPLp0NIg1xT-KL-Qow5HHqa_3smXu_vXuqHYv24XNW366JVDoeiMrHxtmqACBFAq13DAcmyiZa5iaGMbsfA0RKwQy6NUhxKZ1iz0xrMTFz9fVsi2h679iN0P1vU4HWJ5hfUX0tQ
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/GCIS.2009.126
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
EndPage 440
ExternalDocumentID 5209245
Genre orig-research
GroupedDBID 6IE
6IF
6IK
6IL
6IN
AAJGR
AARBI
AAWTH
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CBEJK
IERZE
OCL
RIB
RIC
RIE
RIL
ID FETCH-LOGICAL-i175t-83dc968c0ee550021bcfa5e6f3d6ffcda4d7bf0fd6e0f75f4311fa473f2f72203
IEDL.DBID RIE
ISBN 9780769535715
0769535712
ISICitedReferencesCount 1
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000275817400088&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 2155-6083
IngestDate Wed Aug 27 02:18:27 EDT 2025
IsPeerReviewed false
IsScholarly false
LCCN 2008911321
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i175t-83dc968c0ee550021bcfa5e6f3d6ffcda4d7bf0fd6e0f75f4311fa473f2f72203
PageCount 5
ParticipantIDs ieee_primary_5209245
PublicationCentury 2000
PublicationDate 2009-May
PublicationDateYYYYMMDD 2009-05-01
PublicationDate_xml – month: 05
  year: 2009
  text: 2009-May
PublicationDecade 2000
PublicationTitle 2009 WRI Global Congress on Intelligent Systems
PublicationTitleAbbrev GCIS
PublicationYear 2009
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0000435577
ssj0000328628
Score 1.4286687
Snippet Content-based image retrieval methods are used to construct systems to retrieve and classify plants' leaves. The target of this paper is to balance matching...
SourceID ieee
SourceType Publisher
StartPage 436
SubjectTerms Content based retrieval
Educational institutions
Feature extraction
Image databases
Image matching
Image recognition
Image retrieval
Intelligent systems
KMP fuzzy matching algorithm
mountain climbing sequence images
plant leaf index
Process design
Shape
Title Index and Recognition for the Shape Contour of Plant Leaves
URI https://ieeexplore.ieee.org/document/5209245
Volume 4
WOSCitedRecordID wos000275817400088&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1NTwIxEG2AePCECsbv9ODRldLtxzYeiSgJIUQ04Ua67TRy2SWw8Pttdxfw4MVb21PT6WTetDPvIfRIFeFUUxM54tKIWe-KSsYu0jZVLiVAhC4bhcdyMknmczVtoKdDLwwAlMVn8ByG5V--zc02PJX1QskGZbyJmlKKqlfr8J4SeOFEDaXLuccBvBRe9EGNR8JDjSprVzzmsk9r8p39nB_5N3tvg9GsYrLsB86FX6orZdAZtv-33TPUPXbv4ekhLp2jBmQXqL2Xb8C1N3fQyygwJWKdWfyxLyPKM-xRLPaoEM--9QpwYK_y1w3nDgd9owKPQe9g00Vfw9fPwXtUaylESw8QiiiJrVEiMQTA5yQ-sKfGaQ7CxVY4Z6xmVqbeXlYAcZI7jyv6TjNvNuokpSS-RK0sz-AKYa6dIjbxiZoO7s-S1FBQiQXKwTDFrlEnnMViVdFlLOpjuPl7-RadVh80oYbwDrWK9Rbu0YnZFcvN-qG08Q9hzKA9
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PT8IwFG4QTfSECsbf9uDRSenabY1HIkKchAgm3EjXvkYuG4HB32-7DfDgxVvbU9PX9n2vfe_7EHqkgnAqqfIMMYnHtD2KIvSNJ3UiTEKABLIoFI7D4TCaTsWohp52tTAAUCSfwbNrFn_5OlNr91TWdikblPEDdMgZo6Ss1tq9qDhmuKAC00XfIgFeSC9at8a9wIKNMm4X3Odhh1b0O9s-3zNwtt-6g3HJZdlxrAu_dFcKt9Nr_G_Cp6i1r9_Do51nOkM1SM9RYyvggKvz3EQvA8eViGWq8ec2kShLscWx2OJCPP6WC8COv8puOJwZ7BSOchyD3MCqhb56r5Nu36vUFLy5hQi5F_laiSBSBMBGJda1J8pIDoHxdWCM0pLpMLEW0wEQE3JjkUXHSGYNR01IKfEvUD3NUrhEmEsjiI5sqCbdBcCiRFEQkQbKQTHBrlDTrcVsURJmzKpluP57-AEd9ycf8SweDN9v0En5XeMyCm9RPV-u4Q4dqU0-Xy3vC3v_APASo4Q
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2009+WRI+Global+Congress+on+Intelligent+Systems&rft.atitle=Index+and+Recognition+for+the+Shape+Contour+of+Plant+Leaves&rft.au=Xun+Liu&rft.au=Keyi+Hou&rft.au=Liliang+Wang&rft.au=Ping+Liu&rft.date=2009-05-01&rft.pub=IEEE&rft.isbn=9780769535715&rft.issn=2155-6083&rft.volume=4&rft.spage=436&rft.epage=440&rft_id=info:doi/10.1109%2FGCIS.2009.126&rft.externalDocID=5209245
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2155-6083&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2155-6083&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2155-6083&client=summon