Results 71 to 80 of about 1,320 (180)
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
doaj
Ridgelet-based signature for natural image classification [PDF]
, 2005 This paper presents an approach to grouping natural scenes into (semantically) meaningful categories. The proposed approach exploits the statistics of natural scenes to define relevant image categories.
Le Borgne, Hervé, O'Connor, Noel E.
core
Generalized Ridgelet-Fourier for M×N images: determining the normalization criteria [PDF]
, 2009 Ridgelet transform (RT) has gained its popularity due to its capability in dealing with line singularities effectively. Many of the existing RT however is only applied to images of size M×M or the M×N images will need to be pre-segmented into M×M sub ...
Ahmad, Fatimah +3 more
core +1 more source
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
doaj
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
doaj +1 more source
Curvelet Approach for SAR Image Denoising, Structure Enhancement, and Change Detection [PDF]
, 2009 In this paper we present an alternative method for SAR image denoising, structure enhancement, and change detection based on the curvelet transform. Curvelets can be denoted as a two dimensional further development of the well-known wavelets.
Roth, Achim +2 more
core
Polarized wavelets and curvelets on the sphere
, 2009 The statistics of the temperature anisotropies in the primordial cosmic microwave background radiation field provide a wealth of information for cosmology and for estimating cosmological parameters. An even more acute inference should stem from the study
Bobin, J., Moudden, Y., Starck, J. L.
core +1 more source
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
openaire +1 more source
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
doaj
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
openaire +2 more sources