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ICIP
2005
IEEE
16 years 1 months ago
A segmentation method using compound Markov random fields based on a general boundary model
Markov random field (MRF) theory has widely been applied to segmentation in noisy images. This paper proposes a new MRF method. First, it couples the original labeling MRF with a ...
Jue Wu, Albert C. S. Chung
ICIP
2000
IEEE
16 years 1 months ago
Statistical Threshold Design for the Two-State Signal-Dependent Rank Order Mean Filter
The signal-dependent rank order mean (SD-ROM) ?lter is effective at removing high levels of impulse noise from 2D scalar-valued signals. Excellent results have been presented for ...
Michael S. Moore, Sanjit K. Mitra
ICIP
1998
IEEE
16 years 1 months ago
Level Lines based Disocclusion
Object recognition, robotic vision, occluding noise removal or photograph design require the ability to perform disocclusion. We call disocclusion the recovery of hidden parts of ...
Simon Masnou, Jean-Michel Morel
ICPR
2002
IEEE
16 years 28 days ago
Multiscale Watershed Segmentation of Multivalued Images
In this paper, a new segmentation technique for multivalued images is elaborated. The technique accesses multiscale edge information of a multivalued image by a concept, called mu...
Paul Scheunders, Jan Sijbers
MICCAI
2004
Springer
16 years 21 days ago
On Normalized Convolution to Measure Curvature Features for Automatic Polyp Detection
Early removal of polyps has proven to decrease the incidence of colon cancer. We aim to increase the sensitivity of the screening by automatic detection of polyps. It requires accu...
Cees van Wijk, Roel Truyen, Rogier E. van Gelder, ...