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» Rotationally Invariant Wavelet Shrinkage
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DAGM
2003
Springer
9 years 5 months ago
Rotationally Invariant Wavelet Shrinkage
Abstract. Most two-dimensional methods for wavelet shrinkage are efficient for edge-preserving image denoising, but they suffer from poor rotation invariance. We address this pro...
Pavel Mrázek, Joachim Weickert
ICIP
2000
IEEE
10 years 1 months ago
Rotationally Invariant Texture Features Using the Dual-Tree Complex Wavelet Transform
New rotationally invariant texture feature extraction methods are introduced that utilise the dual tree complex wavelet transform (DT-CWT). The complex wavelet transform is a new ...
Paul R. Hill, David R. Bull, Cedric Nishan Canagar...
ICIP
2006
IEEE
9 years 6 months ago
A Hierarchical Approach to Rotation-Invariant Texture Feature Extraction Based on Radon Transform Parameters
In this paper, we propose an efficient hierarchical method for extracting invariant texture features using the Gabor wavelets and Radon transform parameters. The proposed method a...
Mahmoud R. Hejazi, Yo-Sung Ho
TIP
2002
133views more  TIP 2002»
8 years 11 months ago
Wavelet-based rotational invariant roughness features for texture classification and segmentation
In this paper, we introduce a rotational invariant feature set for texture segmentation and classification, based on an extension of fractal dimension (FD) features. The FD extract...
Dimitrios Charalampidis, Takis Kasparis
PAKDD
2007
ACM
183views Data Mining» more  PAKDD 2007»
9 years 6 months ago
Translation and Rotation Invariant Mining of Frequent Trajectories: Application to Protein Unfolding Pathways
We present a framework for mining frequent trajectories, which are translated and/or rotated with respect to one another. We then discuss a multiresolution methodology, based on th...
Alexander Andreopoulos, Bill Andreopoulos, Aijun A...
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