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Related Concept Videos

Work Done During Volume Change01:17

Work Done During Volume Change

In mechanics, work is done on an object when the force acting on it displaces the object. In thermodynamics, work done on a system can be estimated when the system's volume changes during any thermodynamic process.
Consider a gas confined to a cylinder fitted with a movable piston at one end. If the gas expands from volume V1 to volume V2, it exerts a force on the piston, such that the piston moves by a distance dr.
The work done by the gas on the piston can be expressed as
Unsoundness of Aggregate due to Volume Change01:26

Unsoundness of Aggregate due to Volume Change

Unsoundness in aggregates due to volume changes is primarily caused by the physical alterations aggregates undergo, such as freezing and thawing, thermal changes, and wetting and drying. Unsound aggregates, when subjected to these changes, result in volume change upon disintegration. This, in turn, contributes to the deterioration of concrete, including scaling, pop-outs, and cracking. Particular types of aggregates, such as porous flints, cherts, and those containing clay minerals, are...

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Related Experiment Video

Updated: Jun 28, 2026

Quantifying Intermembrane Distances with Serial Image Dilations
07:45

Quantifying Intermembrane Distances with Serial Image Dilations

Published on: September 28, 2018

Size-based transfer functions: a new volume exploration technique.

Carlos D Correa1, Kwan-Liu Ma

  • 1University of California, Davis, CA, USA. correac@cs.ucdavis.edu

IEEE Transactions on Visualization and Computer Graphics
|November 8, 2008
PubMed
Summary
This summary is machine-generated.

We developed size-based transfer functions to classify 3D volume data by feature size. This method enhances visualization and exploration of complex datasets at interactive rates.

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Area of Science:

  • Computer Graphics
  • Scientific Visualization
  • Image Analysis

Background:

  • Visualizing complex 3D images is challenging.
  • Classifying and segmenting volume data is difficult.
  • Existing methods struggle with scale-dependent feature identification.

Purpose of the Study:

  • Introduce size-based transfer functions for 3D volume data.
  • Improve classification and segmentation of features based on local size.
  • Enhance volume rendering techniques for complex data exploration.

Main Methods:

  • Developed size-based transfer functions mapping local feature scale to color and opacity.
  • Utilized scale fields (3D fields representing local feature size at each voxel).
  • Implemented a mechanism for obtaining scale fields at interactive rates via continuous scale-space analysis and detection filters.

Main Results:

  • Demonstrated improved classification of features with similar scalar values based on relative size.
  • Showcased enhanced volume rendering techniques, including maximum intensity projection.
  • Achieved interactive rates for scale field generation, facilitating real-time data exploration.

Conclusions:

  • Size-based transfer functions offer a powerful method for classifying 3D data.
  • This approach significantly improves the exploration of complex scientific visualizations.
  • Interactive classification by local size enables more effective analysis of volumetric datasets.