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» Natural Image Statistics for Natural Image Segmentation
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ISBI
2006
IEEE
14 years 9 months ago
A tightly coupled region-shape framework for 3D medical image segmentation
Most hybrid 3D segmentation methods either heuristically couple the respective algorithm or combine a true 3D with a 2D algorithm due to computational considerations. In this pape...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
ICCV
2007
IEEE
14 years 10 months ago
A Seeded Image Segmentation Framework Unifying Graph Cuts And Random Walker Which Yields A New Algorithm
In this work, we present a common framework for seeded image segmentation algorithms that yields two of the leading methods as special cases - The Graph Cuts and the Random Walker...
Ali Kemal Sinop, Leo Grady
HISB
2011
92views more  HISB 2011»
12 years 8 months ago
Unsupervised Grow-Cut: Cellular Automata-Based Medical Image Segmentation
— This paper presents a new cellular automata-based unsupervised image segmentation technique that is motivated by the interactive grow-cut algorithm. In contrast to the traditio...
Payel Ghosh, Sameer Antani, L. Rodney Long, George...
ICIAP
2003
ACM
14 years 9 months ago
Classification method for colored natural textures using Gabor filtering
In texture analysis the common methods are based on the gray levels of the texture image. However, the use of color information improves the classification accuracy of the colored...
Leena Lepistö, Iivari Kunttu, Jorma Autio, Ar...
PAMI
2010
127views more  PAMI 2010»
13 years 7 months ago
The Structure of Multiplicative Motions in Natural Imagery
—A theoretical investigation of the frequency structure of multiplicative image motion signals is presented, e.g., as associated with translucency phenomena. Previous work has cl...
Konstantinos G. Derpanis, Richard P. Wildes