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» Image Segmentation - A Survey of Soft Computing Approaches
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ACIVS
2005
Springer
15 years 12 months ago
A Fast Sequential Rainfalling Watershed Segmentation Algorithm
Abstract. In this paper we present a new implementation of a rainfalling watershed segmentation algorithm. Our previous algorithm was a one-run algorithm. All the steps needed to c...
Johan de Bock, Patrick de Smet, Wilfried Philips
CVBIA
2005
Springer
15 years 11 months ago
Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines
Abstract. Markov Random Fields (MRFs) are a popular and wellmotivated model for many medical image processing tasks such as segmentation. Discriminative Random Fields (DRFs), a dis...
Chi-Hoon Lee, Mark Schmidt, Albert Murtha, Aalo Bi...
PAMI
2006
180views more  PAMI 2006»
15 years 6 months ago
Globally Minimal Surfaces by Continuous Maximal Flows
In this paper we consider the problem of computing globally minimal continuous curves and surfaces for image segmentation and 3D reconstruction. This is solved using a maximal flo...
Ben Appleton, Hugues Talbot
ISBI
2011
IEEE
14 years 10 months ago
Skull-stripping with deformable organisms
Segmenting brain from non-brain tissue within magnetic resonance (MR) images of the human head, also known as skull-stripping, is a critical processing step in the analysis of neu...
Gautam Prasad, Anand A. Joshi, Paul M. Thompson, A...
CVPR
2012
IEEE
13 years 8 months ago
The use of on-line co-training to reduce the training set size in pattern recognition methods: Application to left ventricle seg
The use of statistical pattern recognition models to segment the left ventricle of the heart in ultrasound images has gained substantial attention over the last few years. The mai...
Gustavo Carneiro, Jacinto C. Nascimento