84 search results - page 1 / 17 » Image Smoothing and Segmentation by Graph Regularization |
ISVC
2005
Springer
13 years 10 months ago
2005
Springer
We propose a discrete regularization framework on weighted graphs of arbitrary topology, which leads to a family of nonlinear filters, such as the bilateral filter or the TV digi...
ICIAR
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. Graph cut minimization formulates the segmentation problem as the liner combination of data and smoothness terms. The smoothness term is included in the energy formulatio...
ICMCS
2007
IEEE
13 years 11 months ago
2007
IEEE
In this paper, we present a regularization approach on discrete graph spaces for perceptual image segmentation via semisupervised learning. In this approach, first, a spectral cl...
CVIU
2007
13 years 4 months ago
2007
Nowadays color image processing is an essential issue in computer vision. Variational formulations provide a framework for color image restoration, smoothing and segmentation prob...
TIP
2011
12 years 11 months ago
2011
Abstract—The purpose of this study is to investigate multiregion graph cut image partitioning via kernel mapping of the image data. The image data is transformed implicitly by a ...