Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2015: (UTC) administrator
Metadata Last Update2016: (UTC) administrator
Citation KeyMeloAnge:2015:ReAuIn
TitleReconhecimento Automático do Inseto Diaphorina citri em Imagens de Microscopia
Access Date2021, Dec. 04
Number of Files1
Size352 KiB
Context area
Author1 Melo, José Leonardo dos Santos
2 Angelo, Michele Fúlvia
Affiliation1 PGCA - Pós-Graduação em Computação Aplicada, UEFS - Universidade Estadual de Feira de Santana
2 PGCA - Pós-Graduação em Computação Aplicada, UEFS - Universidade Estadual de Feira de Santana
EditorRios, Ricardo Araujo
Paiva, Afonso
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador
DateAug. 26-29, 2015
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeWork in Progress
History (UTC)2015-07-15 14:59:09 :: -> administrator ::
2016-06-03 21:18:36 :: administrator -> :: 2015
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Yellow Sticky Traps
Diaphorina citri
Huanglongbing (HLB)
Classification of Digital Images
Machine Learning
AbstractThis paper presents a proposal for the use of computational approaches to image classification of insect Diaphorina citri, in microscopy, distinguishing it from other insects commonly found in citrus regions of Sao Paulo, Brazil. In addition, comparisons will be made between the approaches used and optimization of the proposed classifiers. Extractors local features invariant to rotation and scale will be used along with different approaches bag-of-features and will be classified as machine learning algorithms. This work is a significant step to enable the creation of computational systems that automate the important process of counting these insects. > SDLA > SIBGRAPI 2015 > Reconhecimento Automático do...
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Next Higher Units8JMKD3MGPBW34M/3K24PF8
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