Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Joao Florindo"'
Autor:
Joao Florindo, Konradin Metze
Publikováno v:
Entropy, Vol 23, Iss 10, p 1259 (2021)
Here we present a study on the use of non-additive entropy to improve the performance of convolutional neural networks for texture description. More precisely, we introduce the use of a local transform that associates each pixel with a measure of loc
Externí odkaz:
https://doaj.org/article/cb7a6b0f9c5747a2bdfb1aaf28dabb87
Autor:
Joao Florindo, Odemir Martinez Bruno
Publikováno v:
2022 Eleventh International Conference on Image Processing Theory, Tools and Applications (IPTA).
Autor:
Victor Alexandre Weil, Joao Florindo
Publikováno v:
Intelligent Systems ISBN: 9783031216886
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0ac7c8cc144f530a959c8c60c8e13fe
https://doi.org/10.1007/978-3-031-21689-3_44
https://doi.org/10.1007/978-3-031-21689-3_44
Autor:
Joao Florindo
Publikováno v:
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Publikováno v:
Revista Brasileira de Gestão Ambiental e Sustentabilidade. 7:1087-1110
O presente artigo se configura como um meio para a compreensão imprescindível a respeito de ações e práticas de vida que repercutem diretamente nas questões de qualidade e manutenção da vida e na preservação do meio ambiente e seus recursos
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
This work proposes the application of fractal descriptors to the analysis of nanoscale materials under different experimental conditions. We obtain descriptors for images from the sample applying a multiscale transform to the calculation of fractal d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d97f1971807d382dde4d50867dd2355f
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
ResearcherID
Universidade de São Paulo (USP)
instacron:USP
ResearcherID
This work presents a methodology to the morphology analysis and characterization of nanostructured material images acquired from FEG-SEM (Field Emission Gun-Scanning Electron Microscopy) technique. The metrics were extracted from the image texture (m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a431b4bd655ec0a58f59dfd50602bdac
http://arxiv.org/abs/1212.2677
http://arxiv.org/abs/1212.2677