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» A Segmentation Algorithm for Noisy Images
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123
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TIP
2010
154views more  TIP 2010»
14 years 10 months ago
Efficient Fourier-Wavelet Super-Resolution
Super-resolution (SR) is the process of combining multiple aliased low-quality images to produce a high-resolution high-quality image. Aside from registration and fusion of low-res...
M. Dirk Robinson, Cynthia A. Toth, Joseph Y. Lo, S...
118
Voted
MICCAI
2004
Springer
16 years 4 months ago
Geometric Flows for Segmenting Vasculature in MRI: Theory and Validation
Abstract. Often in neurosurgical planning a dual spin echo acquisition is performed that yields proton density (PD) and T2-weighted images to evaluate edema near a tumor or lesion....
Maxime Descoteaux, D. Louis Collins, Kaleem Siddiq...
CVPR
1999
IEEE
16 years 5 months ago
Radiometric Self Calibration
A simple algorithm is described that computes the radiometric responsefunction of an imaging system,from images of an arbitrar), scene taken using different exposures. The exposur...
Tomoo Mitsunaga, Shree K. Nayar
113
Voted
CVPR
1997
IEEE
15 years 7 months ago
Automatic line matching across views
This paper presents a new method for matching individual line segments between images. The method uses both greylevel information and the multiple view geometric relations between...
Cordelia Schmid, Andrew Zisserman
CVPR
2007
IEEE
16 years 5 months ago
A Topological Approach to Hierarchical Segmentation using Mean Shift
Mean shift is a popular method to segment images and videos. Pixels are represented by feature points, and the segmentation is driven by the point density in feature space. In thi...
Frédo Durand, Sylvain Paris