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» Image Processing: Principles and Applications
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ICIP
2005
IEEE
15 years 11 months ago
Implicit surface segmentation by minimal paths, applications in 3D medical images
In this paper we introduce a novel edge-based, implicit approach for single object segmentation in 3D images. From a couple of curves, traced by the user on the object to be segme...
Roberto Ardon, Laurent D. Cohen, Anthony J. Yezzi
ICIP
2009
IEEE
14 years 7 months ago
Gamut fitting for image composition applications
Existing digital image composition algorithms neglect the out-of-gamut problem, i.e. some pixel values in a composited image exceed the displayable or printable range. In this pap...
Wenxian Yang, Jianmin Zheng, Jianfei Cai

Book
5396views
16 years 8 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
CVPR
2009
IEEE
1528views Computer Vision» more  CVPR 2009»
16 years 1 months ago
Structured Output-Associative Regression
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
Liefeng Bo and Cristian Sminchisescu
ICIP
2001
IEEE
15 years 11 months ago
Application of the motion vector constraint to the regularized enhancement of compressed video
In this paper, we present a novel fidelity constraint for the image enhancement problem by exploiting the motion vectors of a compressed video bit-stream. These vectors establish ...
C. Andrew Segall, Aggelos K. Katsaggelos