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» A Segmentation Algorithm for Noisy Images
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142
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IROS
2007
IEEE
254views Robotics» more  IROS 2007»
15 years 10 months ago
3D datasets segmentation based on local attribute variation
— We present a Graph-based method for low-level segmentation of unfiltered 3D data. The core of this approach is based on the construction of a local neighborhood structure and ...
Carla Silva Rocha Aguiar, Sébastien Druon, ...
151
Voted
CVPR
2006
IEEE
16 years 5 months ago
On Manifold Structure of Cardiac MRI Data: Application to Segmentation
We develop theory and algorithms to incorporate image manifold constraints in a level set segmentation algorithm. This provides a framework to simultaneously segment every image o...
Qilong Zhang, Richard Souvenir, Robert Pless
117
Voted
ICIP
1997
IEEE
16 years 5 months ago
Two-Dimensional Blind Deconvolution Using a Robust GCD Approach
In this paper we examine the applicability of the previously proposed Greatest Common Divisor (GCD) method to blind image deconvolution. In this method, the desired image is appro...
S. U. Pillai, B. Liang
134
Voted
ICIP
2002
IEEE
16 years 5 months ago
Fast text/graphics resolution improvement using wavelet based denoising and chain-code table lookup
We propose a fast text/graphics resolution improvement algorithm with boundary parameterization and wavelet based denoising. Given input images containing labeled text/graphics ob...
Onur G. Guleryuz, Anoop Bhattacharjya
129
Voted
CBMS
2006
IEEE
15 years 9 months ago
Class Noise and Supervised Learning in Medical Domains: The Effect of Feature Extraction
Inductive learning systems have been successfully applied in a number of medical domains. It is generally accepted that the highest accuracy results that an inductive learning sys...
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen...