Abstract
Traditional path-based morphology allows finding long, approximately straight, paths in images. Although originally applied only to scalar
images, we show how this can be a very good fit for tensor fields. We do this
by constructing directed graphs representing such data, and then modifying
the traditional path opening algorithm to work on these graphs. Cycles are
dealt with by finding strongly connected components in the graph. Some examples of potential applications are given, including path openings that are
not limited to a specific set of orientations.
images, we show how this can be a very good fit for tensor fields. We do this
by constructing directed graphs representing such data, and then modifying
the traditional path opening algorithm to work on these graphs. Cycles are
dealt with by finding strongly connected components in the graph. Some examples of potential applications are given, including path openings that are
not limited to a specific set of orientations.
| Original language | English |
|---|---|
| Title of host publication | Visualization and Processing of Higher Order Descriptors for Multi-Valued Data |
| Editors | Ingrid Hotz, Thomas Schultz |
| Place of Publication | Cham |
| Publisher | Springer |
| Pages | 109-127 |
| Number of pages | 20 |
| ISBN (Electronic) | 978-3-319-15090-1 |
| ISBN (Print) | 978-3-319-15089-5 |
| DOIs | |
| Publication status | Published - 2015 |
Publication series
| Name | Mathematics and Visualization |
|---|---|
| ISSN (Print) | 1612-3786 |
| ISSN (Electronic) | 2197-666X |