| |
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Agricultura Digital. |
|
Data corrente: |
07/12/2015 |
|
Data da última atualização: |
07/01/2020 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
BARBEDO, J. G. A. |
|
Afiliação: |
JAYME GARCIA ARNAL BARBEDO, CNPTIA. |
|
Título: |
Identifying central features of cotton leaves in digital images with difficult backgrounds. |
|
Ano de publicação: |
2015 |
|
Fonte/Imprenta: |
IEEE Latin America Transactions, v. 13, n. 9, p. 3072-3079, Sept. 2015. |
|
Idioma: |
Inglês |
|
Notas: |
Identificando características centrais de folhas de algodão em imagens digitais com fundos difíceis. |
|
Conteúdo: |
Many digital image processing techniques applied to agricultural problems have as main target the leaves of certain species of plants. The most basic task in such a context is to segment the leaf of interest from the rest of the scene, which is relatively straightforward when the leaf is isolated and the image is captured under controlled conditions. However, real field conditions will often imply in little control over lighting and, more importantly, if the background is not prepared for the picture, that is, no other leaves and other objects are removed from the scene, the segmentation task may be considerably challenging (hence the term "difficult background"). This is especially true if there are other leaves with similar shape, texture and color in the scene, which is often the case. This paper presents a method to identify the main node of cotton leaves (where the petiole meets the veins) and the main primary vein, giving valuable information about the position and orientation of those leaves. The only constraint to which the method is subject is that the leaf of interest be located in a central position in the image. |
|
Palavras-Chave: |
Folhas de algodão; Image processing; Imagem digital; Processamento de imagens; Segmentação de folhas; Segmentation. |
|
Thesaurus Nal: |
Cotton; Digital images. |
|
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
Marc: |
LEADER 01937naa a2200229 a 4500
001 2030842
005 2020-01-07
008 2015 bl uuuu u00u1 u #d
100 1 $aBARBEDO, J. G. A.
245 $aIdentifying central features of cotton leaves in digital images with difficult backgrounds.$h[electronic resource]
260 $c2015
500 $aIdentificando características centrais de folhas de algodão em imagens digitais com fundos difíceis.
520 $aMany digital image processing techniques applied to agricultural problems have as main target the leaves of certain species of plants. The most basic task in such a context is to segment the leaf of interest from the rest of the scene, which is relatively straightforward when the leaf is isolated and the image is captured under controlled conditions. However, real field conditions will often imply in little control over lighting and, more importantly, if the background is not prepared for the picture, that is, no other leaves and other objects are removed from the scene, the segmentation task may be considerably challenging (hence the term "difficult background"). This is especially true if there are other leaves with similar shape, texture and color in the scene, which is often the case. This paper presents a method to identify the main node of cotton leaves (where the petiole meets the veins) and the main primary vein, giving valuable information about the position and orientation of those leaves. The only constraint to which the method is subject is that the leaf of interest be located in a central position in the image.
650 $aCotton
650 $aDigital images
653 $aFolhas de algodão
653 $aImage processing
653 $aImagem digital
653 $aProcessamento de imagens
653 $aSegmentação de folhas
653 $aSegmentation
773 $tIEEE Latin America Transactions$gv. 13, n. 9, p. 3072-3079, Sept. 2015.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Registros recuperados : 1 | |
| Registros recuperados : 1 | |
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
