A5086334362- Computer Graphics and Visualization Techniques
- Advanced Vision and Imaging
- 3D Shape Modeling and Analysis
- Radiomics and Machine Learning in Medical Imaging
- Advanced X-ray and CT Imaging
- Color Science and Applications
- Data Visualization and Analytics
- Image Retrieval and Classification Techniques
- Advanced Clustering Algorithms Research
- Mechanical Behavior of Composites
- Medical Imaging Techniques and Applications
- Electrical and Bioimpedance Tomography
- Composite Material Mechanics
- Fiber-reinforced polymer composites
- Complex Network Analysis Techniques
- Distributed and Parallel Computing Systems
- Image and Video Quality Assessment
- Advanced Image and Video Retrieval Techniques
- Advanced X-ray Imaging Techniques
- Optical measurement and interference techniques
- Epoxy Resin Curing Processes
- Image Enhancement Techniques
- Anatomy and Medical Technology
University of Girona
2008-2024
In this paper we present a framework to define transfer functions from target distribution provided by the user. A can reflect data importance, or highly relevant value interval, spatial segmentation. Our approach is based on communication channel between set of viewpoints and bins volume set, it supports 1D as well 2D including gradient information. The are obtained minimizing informational divergence Kullback-Leibler distance visibility captured selected use derivative allows for fast...
Obscurances, from which ambient occlusion is a particular case, technology that produces natural-looking lighting effects in faster way than global illumination. Its application volume visualization of special interest since it permits us to generate high quality rendering at low cost. In this paper, we propose an obscurancebased framework allows obtain realistic and illustrative visualizations interactive manner. Obscurances can include color bleeding without additional Moreover, saliency...
In this paper, we present a new framework for multimodal volume visualization that combines several information-theoretic strategies to define both colors and opacities of the transfer function. To best our knowledge, is first fully automatic scheme visualize data. fused color, set an information channel between two registered input datasets, afterward, compute informativeness associated with respective intensity bins. This used weight color contribution from initial 1-D functions. obtain...
Abstract Different quality metrics have been proposed in the literature to evaluate how well a visualization represents underlying data. In this paper, we present new information‐theoretic framework that quantifies information transfer between source data set and rendered image. This approach is based on definition of an observation channel whose input output are given by intensity values volumetric pixel colors, respectively. From channel, mutual information, measure or correlation output,...
How to extract relevant information from large data sets has become a main challenge in visualization. Clustering techniques that classify into groups according similarity metrics are suitable strategy tackle this problem. Generally, these applied the space as an independent step previous In paper, we propose clustering on perceptual by maximizing mutual between original and final With purpose, present new information-theoretic framework based rate-distortion theory allows us achieve...
Tissue establishments are responsible for processing, testing, preserving, storing, and distributing allografts from donors to be transplanted into recipients. In some situations, a matching process is required determine the allograft that best fits recipient. Allograft morphology key consideration process. The manual procedures applied obtain these parameters make error-prone. A new system manage bone allograft-recipient tissue proposed. requires digitalized resulting images stored in DICOM...
We propose a simple and interactive technique for volume illustration by using the difference between original intensity values low-pass filtered copy. This difference, known as unsharped mask, provides us with spatial importance map that captures salient separability information about regions in volume. integrate this visualization pipeline use it to modulate color opacity assigned transfer function produce different illustrative effects. also apply stipple rendering modulating density of...
A method for reconstructing polygonal paths of fibres in reinforced composites imaged using micro-computed tomography is formally described, implemented and tested. The algorithm has been crafted to be explicable, require no training data behave uniformly all axes or orientations. It consists four phases: (1) segmenting fibre regions a scale-dependent Iterative Difference Gaussians approach, (2) extracting directionality the structure tensor minimum eigenvector, (3) automatically placing...
Given a set of irregularly sampled 3D polygonal curves representing composite fibres within micro-computed tomography volume, new approach based on the Frenet–Serret formulas is proposed to measure point curvature and waviness along polyline even when its oscillations are not coplanar. However, direct computation measures would lead ill-formed results depending variant externalities across acquisitions such as noise, sampling, resolution, fractality, etc. Consequentially, we also propose...
Composite laminates subjected to out-of-plane loads develop damage modes that compromise the load-carrying capacity, as in fuselage skin of an aircraft. Therefore, we aimed improve resistance and tolerance carbon/epoxy thin non-crimp fabric (NCF) by (a) reducing ‘conventional’ ply-thickness (i.e. comparing thick- thin-plies) (b) interleaving co-polyamide (CoPA) non-woven veils at interlaminar regions thin-ply systems. We devised impact, compression after impact (CAI) quasi-static...