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1
Rotation-invariant multiresolution texture analysis using radon and wavelet transforms.
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Radon transform orientation estimation for rotation invariant texture analysis.
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Robust rotation-invariant texture classification using a model based approach.
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Computationally efficient wavelet affine invariant functions for shape recognition.
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Affine invariant features from the trace transform.
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Texture image retrieval using new rotated complex wavelet filters.
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Texture analysis and classification with linear regression model based on wavelet transform.
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Extraction of shift invariant wavelet features for classification of images with different sizes.
IEEE Trans Pattern Anal Mach Intell. 2004 Sep;26(9):1228-33. doi: 10.1109/TPAMI.2004.67.
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Wavelet approximation-based affine invariant shape representation functions.
IEEE Trans Pattern Anal Mach Intell. 2006 Feb;28(2):323-7. doi: 10.1109/TPAMI.2006.43.
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Reduced complexity rotation invariant texture classification using a blind deconvolution approach.
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Rotation equivariant and invariant neural networks for microscopy image analysis.
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A scale- and orientation-adaptive extension of Local Binary Patterns for texture classification.
Pattern Recognit. 2015 Aug;48(8):2633-2644. doi: 10.1016/j.patcog.2015.02.024.
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A wavelet multiscale denoising algorithm for magnetic resonance (MR) images.
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A fully automated approach to prostate biopsy segmentation based on level-set and mean filtering.
J Pathol Inform. 2011;2:S5. doi: 10.4103/2153-3539.92032. Epub 2012 Jan 19.
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Wavelet method for CT colonography computer-aided polyp detection.
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Radon transform orientation estimation for rotation invariant texture analysis.
IEEE Trans Pattern Anal Mach Intell. 2005 Jun;27(6):1004-8. doi: 10.1109/TPAMI.2005.126.

本文引用的文献

1
Texture analysis and classification with tree-structured wavelet transform.
IEEE Trans Image Process. 1993;2(4):429-41. doi: 10.1109/83.242353.
2
Circular-Mellin features for texture segmentation.
IEEE Trans Image Process. 1995;4(12):1629-40. doi: 10.1109/83.475513.
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Rotation-invariant texture classification using a complete space-frequency model.
IEEE Trans Image Process. 1999;8(2):255-69. doi: 10.1109/83.743859.
6
Wavelet-based rotational invariant roughness features for texture classification and segmentation.
IEEE Trans Image Process. 2002;11(8):825-37. doi: 10.1109/TIP.2002.801117.
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The curvelet transform for image denoising.
IEEE Trans Image Process. 2002;11(6):670-84. doi: 10.1109/TIP.2002.1014998.
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The finite ridgelet transform for image representation.
IEEE Trans Image Process. 2003;12(1):16-28. doi: 10.1109/TIP.2002.806252.

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