Improving 2D mesh image segmentation with markovian random fields (2006)
- Authors:
- USP affiliated authors: ANDRADE FILHO, MÁRIO DE CASTRO - ICMC ; BATISTA NETO, JOÃO E. S. - ICMC ; NONATO, LUIS GUSTAVO - ICMC
- Unidade: ICMC
- Subjects: COMPUTAÇÃO GRÁFICA; PROCESSAMENTO DE IMAGENS
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos
- Date published: 2006
- Source:
- Título do periódico: Proceedings
- Conference titles: Simpósio Brasileiro de Computação Gráfica e Processamento de Imagem
-
ABNT
CUADROS-VARGAS, Alex Jesus et al. Improving 2D mesh image segmentation with markovian random fields. 2006, Anais.. Los Alamitos: IEEE, 2006. . Acesso em: 23 abr. 2024. -
APA
Cuadros-Vargas, A. J., Gerhardinger, L. C., Castro, M. de, Batista Neto, J. do E. S., & Nonato, L. G. (2006). Improving 2D mesh image segmentation with markovian random fields. In Proceedings. Los Alamitos: IEEE. -
NLM
Cuadros-Vargas AJ, Gerhardinger LC, Castro M de, Batista Neto J do ES, Nonato LG. Improving 2D mesh image segmentation with markovian random fields. Proceedings. 2006 ;[citado 2024 abr. 23 ] -
Vancouver
Cuadros-Vargas AJ, Gerhardinger LC, Castro M de, Batista Neto J do ES, Nonato LG. Improving 2D mesh image segmentation with markovian random fields. Proceedings. 2006 ;[citado 2024 abr. 23 ] - Projection-based image retrieval using class-specific metrics
- Circulation and topological control in image segmentation
- Three-dimensional reconstruction of magnetic resonance images of mango and papaya
- Topological multi-contour decomposition for image analysis and image retrieval
- Class-specific metrics for multidimensional data projection applied to CBIR
- Identificação de ferrugem por meio de imagens aéreas das áreas cultivadas com cana-de açúcar
- Feature selection with equalized salience measures and its application to segmentation
- An adaptive gradient-based boundary detector for MRI images of the brain
- PC-DVD reproduz com qualidade
- Texture extraction capabilities of multi-layer perceptron
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas