Analyzing flow-like patterns in images for image understanding is an active research area but there have been much less attention paid to the process of enhancement of those structures. The completion of interrupted lines or the enhancement of flow-like structures is known as Coherence-Enhancement (CE). In this work, we are studying nonlinear anisotropic diffusion filtering for coherence enhanc...

We present an efficient implementation of volumetric anisotropic image diffusion filters on modern programmable graphics processing units (GPUs), where the mathematics behind volumetric diffusion is effectively reduced to the diffusion in 2D images. We hereby avoid the computational bottleneck of a time consuming eigenvalue decomposition in R. Instead, we use a projection of the Hessian matrix ...

newspapers and past students' theses. These imaged documents will not be OCR'ed as originally planned due to the overwhelming cost involved. The images are available for public viewing and downloading. The present method will provide an automated means of retrieving similar document images from the library website without having to download every image for inspection of its content to decide it...

Rendering refraction in volume visualization requires smoothly distributed normals to synthesize good quality visual representations. Such refractive visualizations are more susceptible to noise in the data than visualizations that do not involve refraction. In this paper, we present the first study to investigate convolution and diffusion methods with respect to this problem, highlighting the ...

Lithium self-diffusion coefficients are measured for the first time using (7)Li Pulsed-Field Gradient Nuclear Magnetic Resonance (PFG-NMR) in a crystalline inorganic powder of α-Li(3)N between 534 K and 774 K. The diffusion of lithium cations is anisotropic, and the activation energy for the diffusion within the Li(2)N layers was found to be 0.150 ± 0.009 eV.

This report gives an introduction to diffusion maps, some of their underlying theory, as well as their applications in spectral clustering. First, the shortcomings of linear methods such as PCA are shown to motivate the use of graph-based methods. We then explain Locally Linear Embedding [9], Isomap [11] and Laplacian eigenmaps [1], before we give details on diffusion maps and anisotropic diffu...

We designed an anisotropic electrode, in which Li(+) ion insertion and diffusion are anisotropic, by controlled growth of TiO2 nanosheets parallel to the surface of graphene paper. The anisotropic electrode gives a gravimetric capacity of 112 mA h g(-1) at an ultra-high rate of 100 C (corresponding to 36 s of charge-discharge), 3 times higher than that of a referenced isotropic electrode. The r...

This abstract describes the segmentation system used to participate in the challenge ISIC 2017: Skin Lesion Analysis Towards Melanoma Detection. Several preprocessing techniques have been tested for three color representations (RGB, YCbCr and HSV) of 392 images. Results have been used to choose the better preprocessing for each channel. In each case a neural network is trained to predict the Ja...

A novel anisotropic diffusion-based image denoising and restoration approach is proposed in this paper. A variational model for image restoration is introduced first, then the corresponding Euler-Lagrange equation being determined. A nonlinear parabolic PDE model is then obtained from this equation. It is based on a novel edge-stopping function and conductance parameter. A serious mathematical ...

Image smoothing based on anisotropic diffusion provides better performance than classical linear filtering. One difficulty is to compare and evaluate the different models proposed. Since the basic model arises from fluid mechanics, we propose to track anisotropic diffusion using an optical flow technique through a new physics based image model. Consequently to this, we propose a new choice for ...