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» Color, context, and compositionality
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PREMI
2009
Springer
15 years 5 months ago
Unsupervised Color Image Segmentation Using Compound Markov Random Field Model
Abstract. In this paper, we propose an unsupervised color image segmentation scheme using homotopy continuation method and Compound Markov Random Field (CMRF) model. The proposed s...
Sucheta Panda, P. K. Nanda
VISUALIZATION
2003
IEEE
15 years 4 months ago
Effectively Visualizing Multi-Valued Flow Data Using Color and Texture
In this paper we offer several new insights and techniques for effectively using color and texture to simultaneously convey information about multiple 2D scalar and vector distrib...
Timothy Urness, Victoria Interrante, Ivan Marusic,...
FOCS
2003
IEEE
15 years 4 months ago
Switch Scheduling via Randomized Edge Coloring
The essence of an Internet router is an n ¡ n switch which routes packets from input to output ports. Such a switch can be viewed as a bipartite graph with the input and output p...
Gagan Aggarwal, Rajeev Motwani, Devavrat Shah, An ...
AMC
2005
178views more  AMC 2005»
14 years 11 months ago
Color image segmentation based on three levels of texture statistical evaluation
In this paper a new and efficient supervised method for color image segmentation is presented. This method improves a part of the automatic extraction problem. The basic technique...
Juan B. Mena, José A. Malpica
BIBE
2007
IEEE
208views Bioinformatics» more  BIBE 2007»
15 years 3 months ago
The GPU on biomedical image processing for color and phenotype analysis
The computational power and memory bandwidth of graphics processing units (GPUs) have turned them into attractive platforms for general-purpose applications. In this paper, we expl...
Antonio Ruiz, Manuel Ujaldon, Jose Antonio Andrade...