Results 141 to 150 of about 1,190 (173)
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Numeral recognition using curvelet transform
2008 IEEE/ACS International Conference on Computer Systems and Applications, 2008This paper proposes the performance of two new algorithms for digit recognition. These recognition systems are based on extracted features on the performance of image's curvelet transform & achieving standard deviation and entropy of curvelet coefficients matrix in different scales & various angels.
Farhad Mohamad Kazemi +3 more
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Curvelet transform with learning-based tiling
Signal Processing: Image Communication, 2017Compact signal and image representations are of crucial importance in a variety of application areas. Wavelet and wavelet-like transforms typically divide the frequency plane in a systematic non-adaptive approach. In this paper, we propose a learning-based method for adapting frequency domain tiling using the curvelet transform as the basis algorithm ...
Hasan Al-Marzouqi, Ghassan AlRegib
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Quaternion Ridgelet Transform and Curvelet Transform
Advances in Applied Clifford Algebras, 2018The relationships between the Fourier, Radon, wavelet, ridgelet, curvelet transforms for real-valued functions have been extensively studied and are well known. The paper under review extends some of these relationships to quaternion-valued functions. A quaternion \(a\) can be represented as \[ a=a_0+a_1 i+a_2 j+a_3 k, \] with \[ ij=k,\; jk=i,\; ki=j,\;
Ma, Guangsheng, Zhao, Jiman
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TEXTURE CLASSIFICATION USING CURVELET TRANSFORM
International Journal of Wavelets, Multiresolution and Information Processing, 2007Texture classification has long been an important research topic in image processing. Nowadays classification based on wavelet transform is being very popular. Wavelets are very effective in representing objects with isolated point singularities, but failed to represent line singularities.
Arivazhagan Selvaraj +2 more
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Guided waves filtering with warped curvelets
SPIE Proceedings, 2011Lamb wave testing for SHM is complicated by multimodal propagation and by reflections. In this paper, the effectiveness of the decomposition inWarped Curvelet Frames for the analysis of guided ultrasonic waves is studied. The transformation acts by expanding the analyzed signal into a tight frame of basis functions named Curvelets.
DE MARCHI, LUCA +3 more
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Seismic denoising with nonuniformly sampled curvelets
Computing in Science & Engineering, 2006The authors present an extension of the fast discrete curvelet transform (FDCT) to nonuniformly sampled data. This extension not only restores curvelet compression rates for nonuniformly sampled data but also removes noise and maps the data to a regular ...
Gilles Hennenfent, Felix J. Herrmann
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Multipurpose watermarking based on curvelet transform
2008 IEEE International Symposium on Circuits and Systems (ISCAS), 2008Based on curvelet transform this paper embeds one leveled watermark onto significant coefficients by quantization in individual frequency scales. Watermark bits come from image HASH, which is defined in the paper. Bigger coefficients are used for watermarking for the conception that coefficient energy is proportion to its directional sensitivity and ...
Chune Zhang +3 more
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Rudiments of curvelet with applications
AIP Conference Proceedings, 2012Curvelet transform is now a days a favored tool for image processing. Edges are an important part of an image and usually they are not straight lines. Curvelet prove to be very efficient in representing curve like edges. In this chapter application of curvelet is shown with some examples like seismic wave analysis, oil exploration, fingerprint ...
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Digital Curvelet Transform for Palmprint Recognition
2004In this paper, we present a new feature extraction method for palmprint recognition The digital curvelet transform is revised here and used to extract the palmprint features In our algorithm, we use the discrete Meyer wavelet transform to replace the “a trous” transform, then apply the ridgelet transform to each block which is subbanded after the ...
Kaifeng Dong, Guiyu Feng, Dewen Hu
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Curvelets for surface characterization
Applied Physics Letters, 2007Surface metrology is the science of measuring small-scale features on surfaces, which is important to many disciplines including tribology, fluid mechanics, optics, and manufacturing. Applications of wavelets on functional surfaces have become an increasing interest.
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