Abstract
The Hough transform is a classical pattern recognition algorithm used to detect straight lines, circles and ellipses in images. Recently, algebraic geometry arguments have been applied to generalize this approach to special classes of curves. Here we provide preliminary results showing that this method can be utilized for the recognition of compact bone profiles in clinical X-ray tomography images and therefore potentially represents an effective computational tool for applications in hematology and oncology.
| Original language | English |
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| Title of host publication | International Symposium on Image and Signal Processing and Analysis, ISPA |
| Publisher | IEEE Computer Society |
| Pages | 280-283 |
| Number of pages | 4 |
| ISBN (Print) | 9789531841948 |
| Publication status | Published - 2013 |
| Event | 8th International Symposium on Image and Signal Processing and Analysis, ISPA 2013 - Trieste, Italy Duration: Sept 4 2013 → Sept 6 2013 |
Other
| Other | 8th International Symposium on Image and Signal Processing and Analysis, ISPA 2013 |
|---|---|
| Country/Territory | Italy |
| City | Trieste |
| Period | 9/4/13 → 9/6/13 |
ASJC Scopus subject areas
- Computational Theory and Mathematics
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition
- Signal Processing