Results 111 to 120 of about 1,107 (155)
Estimating fiber orientation distribution from diffusion MRI with spherical needlets. [PDF]
Yan H +4 more
europepmc +1 more source
Efficient denoising technique for CT images to enhance brain hemorrhage segmentation. [PDF]
Bhadauria HS, Dewal ML.
europepmc +1 more source
Large-scale automated image analysis for computational profiling of brain tissue surrounding implanted neuroprosthetic devices using Python. [PDF]
Rey-Villamizar N +8 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Image denoising with complex ridgelets
Pattern Recognition, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, Guangyi, Kégl, Balázs
exaly +3 more sources
Neurocomputing, 2009
The multiscale properties of the reception field of the human visual cortex have illuminated the research of wavelet neural network (WNN). Findings in neurophysiology indicate that in the human visual system there are specialized areas in the visual cortex that respond for particular orientations.
Shuyuan Yang 0001 +2 more
openaire +1 more source
The multiscale properties of the reception field of the human visual cortex have illuminated the research of wavelet neural network (WNN). Findings in neurophysiology indicate that in the human visual system there are specialized areas in the visual cortex that respond for particular orientations.
Shuyuan Yang 0001 +2 more
openaire +1 more source
Neurocomputing, 2007
A ridgelet kernel regression method is presented in this paper to approximate multi-dimensional functions, especially those with certain kinds of spatial inhomogeneities. This method is based on ridgelet theory, kernel and regularization techniques from which we can deduce a regularized kernel regression form.
Shuyuan Yang 0001 +2 more
openaire +1 more source
A ridgelet kernel regression method is presented in this paper to approximate multi-dimensional functions, especially those with certain kinds of spatial inhomogeneities. This method is based on ridgelet theory, kernel and regularization techniques from which we can deduce a regularized kernel regression form.
Shuyuan Yang 0001 +2 more
openaire +1 more source
Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2004
In this paper, we present a fast implementation of the 3D ridgelet transform based on discrete analytical 3D lines: the 3D discrete analytical ridgelet transform (DART). This transform uses the Fourier strategy (the projection-slice formula) for the computation of the associated discrete Radon transform.
Carré, Philippe +2 more
openaire +1 more source
In this paper, we present a fast implementation of the 3D ridgelet transform based on discrete analytical 3D lines: the 3D discrete analytical ridgelet transform (DART). This transform uses the Fourier strategy (the projection-slice formula) for the computation of the associated discrete Radon transform.
Carré, Philippe +2 more
openaire +1 more source
Robust Digital Watermarking in the Ridgelet Domain
IEEE Signal Processing Letters, 2004In this letter, we propose a multiplicative watermarking method operating in the ridgelet domain. We employ the directional sensitivity and the anisotropy of the ridgelet transform (RT) in order to obtain a sparse image representation, where the most significant coefficients represent the most energetic direction of an image with straight edges ...
Patrizio Campisi +2 more
openaire +1 more source

