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» Graph Cuts and Efficient N-D Image Segmentation
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ICPR
2008
IEEE
14 years 3 months ago
Monocular video foreground segmentation system
This paper proposes an automatic foreground segmentation system based on Gaussian mixture models and dynamic graph cut algorithm. An adaptive perpixel background model is develope...
Xiaoyu Wu, Yangsheng Wang, Xiaolong Zheng
ECCV
2010
Springer
14 years 2 months ago
Graph Cut based Inference with Co-occurrence Statistics
Abstract. Markov and Conditional random fields (CRFs) used in computer vision typically model only local interactions between variables, as this is computationally tractable. In t...
ICCV
2007
IEEE
14 years 10 months ago
Introducing Curvature into Globally Optimal Image Segmentation: Minimum Ratio Cycles on Product Graphs
While the majority of competitive image segmentation methods are based on energy minimization, only few allow to efficiently determine globally optimal solutions. A graphtheoretic...
Thomas Schoenemann, Daniel Cremers
CRV
2005
IEEE
160views Robotics» more  CRV 2005»
13 years 10 months ago
Segmentation of Laparoscopic Images: Integrating Graph-Based Segmentation and Multistage Region Merging
This paper presents a method that combines graphbased segmentation and multistage region merging to segment laparoscopic images. Starting with image preprocessing, including Gauss...
Yueyun Shu, Guillaume-Alexandre Bilodeau, Farida C...

Publication
400views
13 years 3 months ago
Partitioning Histopathological Images: An Integrated Framework for Supervised Color-Texture Segmentation and Cell Splitting
For quantitative analysis of histopathological images, such as the lymphoma grading systems, quantification of features is usually carried out on single cells before categorizing...
Hui Kong, Metin Gurcan, and Kamel Belkacem-Boussai...