Results 131 to 140 of about 1,107 (155)
Some of the next articles are maybe not open access.
Radon/ridgelet signature for image authentication
2004 International Conference on Image Processing, 2004. ICIP '04., 2005In this paper, we describe a novel content-based image signature for authentication using the ridgelet transform. The signature is extracted from the Radon domain and entropy coded after a 1D wavelet transform, which is essentially the so-called "ridgelet transform". Unlike traditional authentication signatures, it has the ability to localise tampering
Zhen Yao, Nasir M. Rajpoot
openaire +1 more source
Ridgelet moment invariants for pattern recognition
2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2012Moment invariants have been a hot research topic for several decades already. Even though existing moment invariants are good for applications like pattern recognition, there is still a need to further improve the existing moment invariants published in the literature.
Guangyi Chen 0001, Scott Gleason 0001
openaire +1 more source
EXTENDED RIDGELET TRANSFORM ON DISTRIBUTIONS AND BOEHMIANS
Asian-European Journal of Mathematics, 2011The ridgelet transform is extended to the space of Schwartz distributions and to the space of C∞-Boehmians consistent with the classical Ridgelet transform on the space of square integrable Boehmians. The properties of the ridgelet transform like linearity, injectivity, surjectivity and continuity with respect to two notions of convergence are ...
openaire +2 more sources
Image denoising based on ridgelet
6th International Conference on Signal Processing, 2002., 2002Image denoising is an important step in the pre-processing of images; the noisy images bears different characteristics. For an anisotropic image, wavelets lose their effects on singularity detection because discontinuities across edges are spatially distributed.
null Hou Biao +2 more
openaire +1 more source
Fingerprint Compression by Ridgelet Transform
2008 IEEE International Symposium on Signal Processing and Information Technology, 2008In the present paper, a concept of compression using block ridgelet transform is introduced. This kind of analysis/synthesis fingerprint representation takes the form of basis elements which exhibit very high directional sensitivity and are highly anisotropic.
Abdelhak Ouanane, Amina Serir
openaire +1 more source
On the Combination of Ridgelets Descriptors for Symbol Recognition
2008In this paper we propose an original solution to combine the scales of multi-resolution shape descriptors. More precisely, a classifier fusion scheme is applied to a set of shape descriptors obtained from the ridgelets transform. The Ridgelets coefficients are grouped into different descriptors according to their resolution.
Oriol Ramos Terrades +2 more
openaire +2 more sources
A New Adaptive Ridgelet Neural Network
2005In this paper, a new kind of neural network is proposed by combining ridgelet with feed-forward neural network (FNN). The network adopts ridgelet as the activation function in hidden layer of a three-layer FNN. Ridgelet is a good basis for describing the directional information in high dimension and it proves to be optimal in representing the functions
Shuyuan Yang 0001 +2 more
openaire +1 more source
A Novel Ridgelet Kernel Regression Method
2005In this paper, a ridgelet kernel regression model is proposed for approximation of multivariate functions, especially those with certain kinds of spatial inhomogeneities. It is based on ridgelet theory, kernel and regularization technology from which we can deduce a regularized kernel regression form.
Shuyuan Yang 0001 +3 more
openaire +1 more source
Digital Implementation of Ridgelet Packets
2003Abstract The Ridgelet Packets library provides a large family of orthonormal bases for functions f ( x,y ) in L 2 ( dxdy ) which includes orthonormal ridgelets as well as bases deriving from tilings reminiscent from the theory of wavelets and the study of oscillatory Fourier integrals.
openaire +1 more source