scholarly journals 3D Volume Visualization of Environmental Data in the Web

2017 ◽  
pp. 457-469
Author(s):  
Eric Braun ◽  
Clemens Düpmeier ◽  
Stefan Mirbach ◽  
Ulrich Lang
Keyword(s):  
Volume Visualization ◽  
Environmental Data ◽  
3D Volume ◽  
The Web

scholarly journals A Clustering-Based Automatic Transfer Function Design for Volume Visualization

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Tianjin Zhang ◽  
Zongrui Yi ◽  
Jinta Zheng ◽  
Dong C. Liu ◽  
Wai-Mai Pang ◽  
...  
Keyword(s):  
Clustering Algorithm ◽  
Spatial Information ◽  
Transfer Functions ◽  
Clustering Algorithms ◽  
Volume Visualization ◽  
Automatic Generation ◽  
Volume Data ◽  
3D Volume ◽  
Ap Clustering ◽  
Different Tissues

The two-dimensional transfer functions (TFs) designed based on intensity-gradient magnitude (IGM) histogram are effective tools for the visualization and exploration of 3D volume data. However, traditional design methods usually depend on multiple times of trial-and-error. We propose a novel method for the automatic generation of transfer functions by performing the affinity propagation (AP) clustering algorithm on the IGM histogram. Compared with previous clustering algorithms that were employed in volume visualization, the AP clustering algorithm has much faster convergence speed and can achieve more accurate clustering results. In order to obtain meaningful clustering results, we introduce two similarity measurements: IGM similarity and spatial similarity. These two similarity measurements can effectively bring the voxels of the same tissue together and differentiate the voxels of different tissues so that the generated TFs can assign different optical properties to different tissues. Before performing the clustering algorithm on the IGM histogram, we propose to remove noisy voxels based on the spatial information of voxels. Our method does not require users to input the number of clusters, and the classification and visualization process is automatic and efficient. Experiments on various datasets demonstrate the effectiveness of the proposed method.

scholarly journals Assessment of riparian environments through semi-automated procedures for the computation of eco-morphological indicators: Preliminary results of the WEQUAL project

2019 ◽  
Vol 70 (3) ◽  
pp. 131-145 ◽  
Author(s):  
Raimondo Gallo ◽  
Gianluca Ristorto ◽  
Alex Bojeri ◽  
Nadia Zorzi ◽  
Gabriele Daglio ◽  
...  
Keyword(s):  
Data Collection ◽  
Unmanned Aircraft ◽  
Environmental Data ◽  
Shared Environment ◽  
Surface Model ◽  
Riparian Areas ◽  
Raw Data ◽  
Ecological Criteria ◽  
Web Platform ◽  
The Web

Summary The aim of WEQUAL project (WEb service centre for QUALity multidimensional design and tele-operated monitoring of Green Infrastructures) is the development of a system that is able to support a quick environmental monitoring of riparian areas subjected to the realization of new green infrastructures (GI). The Wequal’s idea is to organize a service center able to manage both the Web Platform and the whole data collection and analysis processes. Through a personal account, the final user (designer, technician, researcher) can get access to the service and requires the evaluation of alternatives GI projects. On the Web Platform, a set of algorithms runs in order to calculate, through automatic procedures, all the ecological criteria required to evaluate a quality environmental index that describes the eco-morphological value of the monitored riparian areas. For this aim, the WEQUI index was developed, which uses 15 indicators that are easy to monitor. In this paper, the approach for environmental data collection and the procedures to perform the automatic assessment of two of the ecological criteria are described. For the computation, the implemented algorithms use data including the vegetation indexes, Digital Terrain Model (DTM), Digital Surface Model (DSM) and a 3D point cloud classification. All the raw data are collected by UAVs (Unmanned Aircraft Vehicle) equipped with a 3D Lidar, multispectral camera and RGB camera. Interpreting all the raw data collected by these sensors, using a multi-attribute approach, the WEQUI index is assessed. The computed ecological index is then used to assess the riparian environmental quality at ex-ante and ex-post river stabilization works. This index, integrated with additional not-technical or not-ecological indicators such as investment required, maintenance costs or social acceptance, can be used in multicriteria analyses in order to evaluate the intervention from a wider point of view. The platform is expected to be attractive for GI designers and policy makers by providing a shared environment, which is able to integrate the method of detection and evaluation of complex indexes and a multidimensional evaluation supported by an expert guide.

3D Volume Visualization and Screen-based Interaction with Dynamic Ray Casting on Autostereoscopic Display

2021 ◽  
Author(s):  
Ruiyang Li ◽  
Tianqi Huang ◽  
Hanying Liang ◽  
Boxuan Han ◽  
Xinran Zhang ◽  
...  
Keyword(s):  
Volume Visualization ◽  
Ray Casting ◽  
Autostereoscopic Display ◽  
3D Volume

VOLUME VISUALIZATION FOR SURGICAL PLANNING SYSTEM

2007 ◽  
Vol 07 (01) ◽  
pp. 55-63 ◽  
Author(s):  
CHAN CHEE FATT ◽  
IRWAN KASSIM ◽  
CHARLES LO ◽  
IVAN NG ◽  
KWOH CHEE KEONG
Keyword(s):  
Computer Technology ◽  
Surgical Approach ◽  
Surgical Planning ◽  
Volume Visualization ◽  
Planning System ◽  
Neurosurgical Planning ◽  
2D Imaging ◽  
3D Volume ◽  
Volume Models

The 3D volume visualization is to overcome the difficulties of the 2D imaging by using computer technology. A volume visualization approach has been successfully implemented for Surgical Planning System in National Neuroscience Institute (NNI). The system allows surgeons to plan a surgical approach on a set of 2D image slices and process into volume models and visualise them in 3D rapidly and interactively on PC. In our implementation, we have applied it in neurosurgical planning. The surgeon can visualize objects of interest like tumor and surgical path, and verify that the surgical plan avoids the critical features and the planning of the surgical path can thus be optimal.

V-FOR-WaTer: A Virtual Research Environment for Environmental Research

2021 ◽  
Author(s):  
Marcus Strobl ◽  
Elnaz Azmi ◽  
Sibylle K. Hassler ◽  
Mirko Mälicke ◽  
Jörg Meyer ◽  
...  
Keyword(s):  
Data Access ◽  
Environmental Data ◽  
Environmental Research ◽  
Easy Access ◽  
Web Portal ◽  
Environmental Sciences ◽  
Research Environment ◽  
Data Services ◽  
Virtual Research Environment ◽  
The Web

<p>The virtual research environment V-FOR-WaTer aims at simplifying data access for environmental sciences, fostering data publications and facilitating data analyses. By giving scientists from universities, research facilities and state offices easy access to data, appropriate pre-processing and analysis tools and workflows, we want to accelerate scientific work and facilitate the reproducibility of analyses.</p><p>The prototype of the virtual research environment consists of a database with a detailed metadata scheme that is adapted to water and terrestrial environmental data. Present datasets in the web portal originate from university projects and state offices. We are also finalising the connection of V-FOR-WaTer to GFZ Data Services, an established repository for geoscientific data. This will ease publication of data from the portal and in turn give access to datasets stored in this repository. Key to being compatible with GFZ Data Services and other systems is the compliance of the metadata scheme with international standards (INSPIRE, ISO19115).</p><p>The web portal is designed to facilitate typical workflows in environmental sciences. Map operations and filter options ensure easy selection of the data, while the workspace area provides tools for data pre-processing, scaling, and common hydrological applications. The toolbox also contains more specific tools, e.g. for geostatistics and soon for evapotranspiration. It is easily extendable and will ultimately also include user-developed tools, reflecting the current research topics and methodologies in the hydrology community. Tools are accessed through Web Processing Services (WPS) and can be joined, saved and shared as workflows, enabling more complex analyses and ensuring reproducibility of the results.</p>

scholarly journals V-FOR-WaTer – a virtual research environment to access and process environmental data

2020 ◽  
Author(s):  
Marcus Strobl ◽  
Elnaz Azmi ◽  
Sibylle K. Hassler ◽  
Mirko Mälicke ◽  
Jörg Meyer ◽  
...  
Keyword(s):  
Modular Design ◽  
Data Access ◽  
International Standards ◽  
Environmental Data ◽  
Web Portal ◽  
Environmental Sciences ◽  
Research Environment ◽  
Wide Range ◽  
Virtual Research Environment ◽  
The Web

<p>V-FOR-WaTer, as a virtual research environment, wants to simplify data access for environmental sciences, foster data publications and facilitate preparation of data and their analyses with a comprehensive toolbox. A large number of datasets, covering a wide range of spatial and temporal resolution, is still hardly accessible for others than the original data collector. Frequently these datasets are stored on local storage devices. By giving scientists from universities and state offices open access to data, appropriate pre-processing and analysis tools and workflows, we accelerate scientific work and facilitate the reproducibility of analyses.</p><p>The prototype of the virtual research environment was developed during the last three years. Today it consists of a database with a detailed metadata scheme that is adapted to water and terrestrial environmental data and compliant with international standards (INSPIRE, ISO19115). Data in the web portal originate from university projects and state offices. The connection of V-FOR-WaTer to established repositories, like the GFZ Data Services, is work in progress. This will simplify both, the process of accessing publicly available datasets and publishing the portal users’ data, which is increasingly demanded by journals and funding organisations.</p><p>The appearance of the web portal is designed to reproduce typical workflows in environmental sciences. A filter menu, based on the metadata, and a graphical selection on the map gives access to the data. A workspace area provides tools for data pre-processing, scaling, common hydrological applications and more specific tools, e.g. geostatistics. The toolbox is easily extendable due to the modular design of the system and will ultimately also include user-developed tools. The selection of the tools is based on current research topics and methodologies in the hydrology community. They are implemented as Web Processing Services (WPS); hence, the tool executions can be joined with one another and saved as workflows, enabling more complex analyses and reproducibility of the research.</p>

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