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» Image Thresholding Using Graph Cuts
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ICPR
2008
IEEE
14 years 4 months ago
Medical image segmentation via min s-t cuts with sides constraints
Graph cut algorithms (i.e., min s-t cuts) [3][10][15] are useful in many computer vision applications. In this paper we develop a formulation that allows the addition of side cons...
Jiun-Hung Chen, Linda G. Shapiro
ACCV
2009
Springer
14 years 4 months ago
Iterated Graph Cuts for Image Segmentation
Graph cuts based interactive segmentation has become very popular over the last decade. In standard graph cuts, the extraction of foreground object in a complex background often le...
Bo Peng, Lei Zhang, Jian Yang
ICIP
2003
IEEE
14 years 11 months ago
Scene cut detection using the colored pattern appearance model
In this paper, we propose to use the Colored Pattern Appearance Model (CPAM) as a content representation for video scene break detection. This model represents a scene by means of...
Kin-Wai Sze, Kin-Man Lam, Guoping Qiu
CVIU
2008
141views more  CVIU 2008»
13 years 10 months ago
Change detection using a statistical model in an optimally selected color space
We present a new noise model for color channels for statistical change detection. Based on this noise modeling, we estimate the distribution of Euclidean distances between the pix...
Youngbae Hwang, Jun-Sik Kim, In-So Kweon
ICIP
2008
IEEE
14 years 11 months ago
Live video object tracking and segmentation using graph cuts
Graph cuts have proven to be powerful tools in image segmentation. Previous graph cut research has proposed methods for cutting across large graphs constructed from multiple layer...
Zachary A. Garrett, Hideo Saito