SCIA
2011
Springer
12 years 7 months ago
2011
Springer
Abstract. Variational frameworks based on level set methods are popular for the general problem of image segmentation. They combine different feature channels in an energy minimiz...
ISBI
2011
IEEE
12 years 8 months ago
2011
IEEE
Segmentation of tree-like structure within medical imaging modalities, such as x-ray, MRI, ultrasound, etc., is an important step for analyzing branching patterns involved in many...
TSMC
2010
12 years 11 months ago
2010
Abstract--Optimal deployment and accurate localization of sensor nodes have a strong influence on the performance of a wireless sensor network (WSN). This paper considers real-time...
TIP
2010
12 years 11 months ago
2010
Abstract--A new Bayesian model is proposed for image segmentation based upon Gaussian mixture models (GMM) with spatial smoothness constraints. This model exploits the Dirichlet co...
TIP
2010
12 years 11 months ago
2010
Abstract--Image segmentation plays an important role in computer vision and image analysis. In this paper, image segmentation is formulated as a labeling problem under a probabilit...
MEMICS
2010
12 years 11 months ago
2010
In this paper, we propose a modification to the Boykov-Kolmogorov maximum flow algorithm [2] in order to make the algorithm preserve the topology of an initial interface. This alg...
Source Code
Description
===========
This package contains the major source code of a demo for our learning based digital image matting technique (as detailed in the below paper).
@InPro...
VC
2011
12 years 12 months ago
2011
Despite the ability of current GPU processors to treat heavy parallel computation tasks, its use for solving medical image segmentation problems is still not fully exploited and re...
ACCV
2010
Springer
13 years 13 hour ago
2010
Springer
Recent work on early vision such as image segmentation, image restoration, stereo matching, and optical flow models these problems using Markov Random Fields. Although this formula...
CVPR
2011
IEEE
13 years 4 days ago
2011
IEEE
We present an unsupervised, shape-based method for joint clustering of multiple image segmentations. Given two or more closely-related images, such as nearby frames in a video sequ...