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» A Segmentation Algorithm for Noisy Images
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107
Voted
ICIP
2005
IEEE
16 years 5 months ago
Generalized Wiener estimation algorithms based on a family of heavy-tail distributions
A fundamental problem in signal processing is to estimate signal from noisy observations. When some prior information about the statistical models of the signal and noise is avail...
Guang Deng
DGCI
1997
Springer
15 years 7 months ago
Applications of Digital Straight Segments to Economical Image Encoding
A new classification of digital curves into boundary curves and visual curves of different thickness is suggested. A fast algorithm for recognizing digital straight line segments i...
Vladimir Kovalevsky
107
Voted
IVC
2002
92views more  IVC 2002»
15 years 3 months ago
Image segmentation by relaxation using constraint satisfaction neural network
The problem of image segmentation using constraint satisfaction neural networks (CSNN) has been considered. Several variations of the CSNN theme have been advanced to improve its ...
Fatih Kurugollu, Bülent Sankur, A. Emre Harma...
ICIP
2008
IEEE
16 years 5 months ago
Voting-based active contour segmentation of fMRI images of the brain
We propose an algorithm for automated segmentation of white matter in brain MRI images, which can be used to create connected representations of the gray matter in the cerebral co...
Gowri Srinivasa, Vivek S. Oak, Siddharth J. Garg, ...
135
Voted
CVPR
2009
IEEE
16 years 10 months ago
P-Brush: Continuous Valued MRFs with Normed Pairwise Distributions for Image Segmentation
Interactive image segmentation traditionally involves the use of algorithms such as Graph Cuts or Random Walker. Common concerns with using Graph Cuts are metrication artifacts ...
Dheeraj Singaraju, Leo Grady, René Vidal