Detalhes bibliográficos
Ano de defesa: |
2013 |
Autor(a) principal: |
Barros, Luiz Gustavo
 |
Orientador(a): |
Britto Junior, Alceu de Souza
 |
Banca de defesa: |
Dias, Ariangelo Hauer
,
Facon, Jacques
 |
Tipo de documento: |
Dissertação
|
Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
UNIVERSIDADE ESTADUAL DE PONTA GROSSA
|
Programa de Pós-Graduação: |
Programa de Pós Graduação Computação Aplicada
|
Departamento: |
Computação para Tecnologias em Agricultura
|
País: |
BR
|
Palavras-chave em Português: |
|
Palavras-chave em Inglês: |
|
Área do conhecimento CNPq: |
|
Link de acesso: |
http://tede2.uepg.br/jspui/handle/prefix/176
|
Resumo: |
Images acquired in the field with ordinary cameras, tend to have a lower quality compared with those obtained in the laboratory, including noise and unclear areas. This paper proposes a methodology for the analysis of sharpness in wood images of wood to analyze its impact on their classification. To evaluate this proposal, a database of wood images was used and each sample has extracted its color and texture characteristics using uniform local binary pattern and RGB color model methods, respectively. The Tenengrad method was used to evaluate the image sharpness and then the images were classified as high or low sharpness. Scenarios were developed to test the impact of the analysis of sharpness and check how it contributes to the hit rate. |