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» Wavelet Based Automatic Thresholding for Image Segmentation
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VIS
2004
IEEE
140views Visualization» more  VIS 2004»
15 years 11 months ago
Vector Wavelet Thresholding for Vector Field Denoising
Noise reduction is an important preprocessing step for many visualization techniques that make use of feature extraction. We propose a method for denoising 2-D vector fields that ...
Michel A. Westenberg, Thomas Ertl
ICIP
2008
IEEE
15 years 4 months ago
Illumination invariant active contour-based segmentation using complex-valued wavelets
This paper introduces a novel approach to the problem of active contour-based segmentation through the use of complexvalued wavelets. In traditional active contour-based segmentat...
Alexander Wong
ICIAP
2001
Springer
15 years 9 months ago
Wavelet-Based Texture Segmentation of Remotely Sensed Images
In this article a texturefeature extraction scheme based on M-band waveletpacketframes is investigated. Thefeatures so extracted are usedfor segmentation of satellite images which...
Mausumi Acharyya, Malay K. Kundu
97
Voted
ISBI
2004
IEEE
15 years 10 months ago
Wavelet-Based fMRI Statistical Analysis and Spatial Interpretation: A Unifying Approach
Wavelet-based statistical analysis methods for fMRI are able to detect brain activity without smoothing the data. Typically, the statistical inference is performed in the wavelet ...
Dimitri Van De Ville, Thierry Blu, Michael Unser
73
Voted
BILDMED
2007
14 years 11 months ago
Separate CT-Reconstruction for Orientation and Position Adaptive Wavelet Denoising
The projection data measured in computed tomography (CT) and, consequently, the slices reconstructed from these data are noisy. For a reliable diagnosis and subsequent image proces...
Anja Borsdorf, Rainer Raupach, Joachim Hornegger