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Details for article 5 of 6 found articles
| Title: |
Morphology Descriptors of Irregularly Shaped Particles from Two-Dimensional Images |
| Author: |
Daves, Glenn G. Buckius, Richard O. Peters, James E. Schroeder, Alan R. |
| Appeared in: |
Aerosol science and technology |
| Paging: | Volume 19 (1993) nr. 2 pages 199-212 |
| Year: |
1993 |
| Contents: |
Two-dimensional particle images provide significantly more information about particle morphology than does the measurement of a single length scale. However, approximations are still required to estimate three-dimensional particle parameters such as external surface area and volume from a two-dimensional image. Two techniques to predict surface area and volume from a two-dimensional image are examined by using images of objects of known surface area and volume. The orthographic intersection method intersects the two-dimensional images from all possible orthogonal axes. The resulting three-dimensional objects are averaged to obtain the final particle shape descriptors. The discrete revolution method first determines the major centroidal axis of the image and then rotates the silhouette about this axis. Because the silhouette is not symmetrical with respect to the major axis, the silhouette is divided into thin strips of area perpendicular to the major axis. Each of these strips is then rotated about its own centroidal axis (parallel to the major axis). Comparisons of the results of each method for specified particles provide estimates of the accuracy of each approach. The orthographic intersection and discrete revolution methods provide superior estimates of the surface area, volume, and surface area/volume ratio as compared with approaches using single length scale equivalent spheres. The method that provided the most accurate results was the discrete revolution technique. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 5 of 6 found articles
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