Zobrazeno 1 - 10
of 20
pro vyhledávání: '"João do Espirito Santo Batista Neto"'
Publikováno v:
IET Image Processing, Vol 15, Iss 11, Pp 2532-2547 (2021)
Abstract This article introduces an automatic approach for the segmentation of coloured natural scene images based on graphs and the propagation of labels originally designed for communities detection in complex networks. Images are initially pre‐s
Externí odkaz:
https://doaj.org/article/c1d00fadec6b4145b3df1ddbbe424d5d
Autor:
Dyovani Coelho, Ernesto C. Pereira, Oscar Cuadros Linares, Odemir Martinez Bruno, Lucia H. Mascaro, Marcos A.S. Andrade, João do Espirito Santo Batista Neto, Aloadir L. S. Oliveira
Publikováno v:
Journal of Solid State Electrochemistry. 24:1909-1919
Herein, we propose an approach to three-dimensional (3D) reconstruction of corroded samples to have access to information about the shape, diameter, volume, depth, and spatial distribution of pits. For this purpose, a 304 stainless steel sample, afte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ef558d23dd437315da4d7f5381b0c72
https://doi.org/10.1007/s10008-020-04586-2
https://doi.org/10.1007/s10008-020-04586-2
Publikováno v:
Semina: Ciências Exatas e Tecnológicas, Vol 45 (2024)
The modeling of human faces is an integral part of a variety of computer applications, from animation and entertainment programs to security and facial recognition apps. This paper presents an alternative method that, given a photo as input, extracts
Externí odkaz:
https://doaj.org/article/4c7e8cdd042b45ad87c25af1d026edc7
Autor:
Arata Andrade Saraiva, Nuno M. F. Ferreira, António Valente, João do Espirito Santo Batista Neto, Salviano Soares, Jose Vigno Moura Sousa, Luciano Lopes de Sousa, Pedro Mateus Cunha Pimentel
Publikováno v:
BIODEVICES
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98cde71c5443571b179b6ec130eedc6b
https://doi.org/10.5220/0009178902920297
https://doi.org/10.5220/0009178902920297
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
We introduce an interactive method for retina layer segmentation in gray-level and RGB images based on super-pixels, multi-level optimization of modularity, and boundary erosion. Our method produces highly accurate segmentation results and can segmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3dc05e110f424cef5a362efbbd0a0bf2
https://pubmed.ncbi.nlm.nih.gov/31478852
https://pubmed.ncbi.nlm.nih.gov/31478852
Autor:
Jonas Bianchi, Bernd Hamann, Dirceu Barnabé Raveli, João do Espirito Santo Batista Neto, Oscar Cuadros Linares
Publikováno v:
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Made available in DSpace on 2018-12-11T16:52:59Z (GMT). No. of bitstreams: 0 Previous issue date: 2018-04-26 Cone beam computed tomography (CBCT) is a medical imaging technique employed for diagnosis and treatment of patients with cranio-maxillofacia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35fc7a9d37c155964f1a27fb4c6c39cd
Autor:
Oscar Cuadros Linares, Francisco A. Rodrigues, João do Espirito Santo Batista Neto, Glenda Michele Botelho
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
Image segmentation has many applications which range from machine learning to medical diagnosis. In this study, the authors propose a framework for the segmentation of images based on super-pixels and algorithms for community identification in graphs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c87726790fc48551bdd9d9b1f5f936c8
Autor:
João do Espirito Santo Batista Neto, Gabriel B. Paranhos da Costa, Moacir Antonelli Ponti, Tiago S. Nazaré, Welinton A. Contato
Publikováno v:
SIBGRAPI
The most challenging aspect of video and image denoising is to preserve texture and small details, while filtering out noise. To tackle such problem, we present two novel variants of the 3D Non-Local Means (NLM3D) which are suitable for videos and 3D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac360f2b4434d48c83ee7d21c45d9006
https://doi.org/10.1109/sibgrapi.2016.041
https://doi.org/10.1109/sibgrapi.2016.041
Autor:
Fernando V. Paulovich, João do Espirito Santo Batista Neto, Maria Cristina Ferreira de Oliveira, Davi Pereira dos Santos, Rosane Minghim, Danilo Medeiros Eler, Gabriel F. Andery, Marcel Y. Nakazaki
Publikováno v:
The Visual Computer. 25:923-937
Multidimensional Visualization techniques are invaluable tools for analysis of structured and unstructured data with variable dimensionality. This paper introduces PEx-Image—Projection Explorer for Images—a tool aimed at supporting analysis of im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b7f37c63115f7da01db88162a03524a
https://doi.org/10.1007/s00371-009-0368-7
https://doi.org/10.1007/s00371-009-0368-7
Autor:
Mario Augusto Pazoti, Luis Gustavo Nonato, Odemir Martinez Bruno, João do Espirito Santo Batista Neto
Publikováno v:
Pattern Recognition Letters. 29:1675-1683
Successful classification, information retrieval and image analysis tools are intimately related with the quality of the features employed in the process. Pixel intensities, color, texture and shape are, generally, the basis from which most of the fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c7d063d45ea25bf6e8434158ea45d34
https://doi.org/10.1016/j.patrec.2008.04.017
https://doi.org/10.1016/j.patrec.2008.04.017