Results 51 to 60 of about 224 (152)
RECOGNITION METHOD OF METAL FRACTURE IMAGES BASED ONEMPIRICAL RIDGELET-2DPCA
Jixie qiangdu, 2019 The empirical ridgelet transform has the ability of direction selectivity and adaptive decomposition. 2 DPCA can directly use the original image toconstruct the covariance matrix.
LI ZhiNong, WU WeiXiao
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A Case Study on Contourlet and Ridgelet in Denoising Medical Images
Tạp chí Khoa học Đại học Mở Thành phố Hồ Chí Minh - Kỹ thuật và Công nghệ, 2013 A special member of the transforming of multiscale in the frequency domain has been proposed and developed in the last few years ago. We mention here some transformations after X-let generation such as: Ridgelet, Contourlet, Bandelet [1,2,3,4 ...
Trương Hoàng Vinh
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Hybrid methods for feature extraction for breast masses classification
Egyptian Informatics Journal, 2018 This paper is focusing on feature extraction methods for malignant masses in mammograms and its classification. It proposes seven texture features for GLCM method and to be applied on sub-images to enhance its performance.
Mohamed A. Berbar
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A HYBRID FACE RECOGNITION APPROACH USING LOCAL FUSION OF COMPLEX DUAL-TREE WAVELET COEFFICIENTS AND RIDGELET TRANSFORM [PDF]
ICTACT Journal on Image and Video Processing, 2011 In this paper, we propose novel face recognition method based on local appearance feature extraction using hybrid mode of local ridge- let and fused dual-tree complex wavelet transform (DT-CWT).
K. Jaya Priya, R.S. Rajesh
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IEEE AccessThe inherently unpredictable nature of solar power generation, primarily due to rapidly changing cloud cover, poses a significant challenge to the operation of solar-integrated energy systems. Accurate ultra-short-term PhotoVoltaic (PV) power forecasting
Razieh Rastgoo +3 more
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2D Empirical Transforms. Wavelets, Ridgelets, and Curvelets Revisited
SIAM Journal on Imaging Sciences, 2014 A recently developed new approach, called ``Empirical Wavelet Transform'', aims to build 1D adaptive wavelet frames accordingly to the analyzed signal. In this paper, we present several extensions of this approach to 2D signals (images). We revisit some well-known transforms (tensor wavelets, Littlewood-Paley wavelets, ridgelets and curvelets) and show
Jérôme Gilles +2 more
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A New Affine Invariant Image Transform Based on Ridgelets [PDF]
Procedings of the British Machine Vision Conference 2006, 2006 In this paper we present a new affine invariant image transform, based on ridgelets. The proposed transform is directly applicable to segmented image patches. The new method has some similarities with the previously proposed Multiscale Autoconvolution, but it will offer a more general framework and possibilities for variations.
Esa Rahtu, Janne Heikkilä, Mikko Salo
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Cosmological Non-Gaussian Signature Detection: Comparing Performance of Different Statistical Tests
EURASIP Journal on Advances in Signal Processing, 2005 Currently, it appears that the best method for non-Gaussianity detection in the cosmic microwave background (CMB) consists in calculating the kurtosis of the wavelet coefficients.
Starck J-L +4 more
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Ridgelet transform for quantum optical states
Acta Physica Sinica, 2013 We derive a useful formula for the normal ordering of two-mode operator by the technique of integration within an ordered product (IWOP) of operators. Furthermore, we also calculate the Radon transformations for the coherent state, special squeezed coherent state, intermediary entangled state in the view of the quantum mechanics.
null Yu Hai-Jun +3 more
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EnergiesThis paper designs a multi-variable hybrid islanding-detection method (HIDM) using signal-processing techniques. The signals of current captured on a test system where the renewable energy (RE) penetration level is between 50% and 100% are processed by ...
Ming Li +4 more
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