Abstract
We describe a method for labelling image structure based on scale-orientation signatures. These signatures provide a rich and stable description of local structure and can be used as a basis for robust pixel classification. We demonstrate their application to synthetic images containing lines and blob-like features and to mammograms containing abnormal masses. Quantitative results are presented, using both linear and nonlinear classification methods.
Original language | English |
---|---|
Title of host publication | Noblesse Workshop on Non-Linear Model Based Image Analysis |
Subtitle of host publication | Proceedings of NMBIA, 1–3 July 1998, Glasgow |
Editors | Stephen Marshall, Neal Richard Harvey, Druti Shah |
Publisher | Springer Nature |
Pages | 152-157 |
Number of pages | 6 |
ISBN (Electronic) | 978-1-4471-1597-7 |
ISBN (Print) | 978-3-540-76258-4 |
DOIs | |
Publication status | Published - 10 Jul 1998 |
Externally published | Yes |
Event | Proceedings Noblesse Workshop on Non-Linear Model Based Image Analysis - Glasgow, United Kingdom of Great Britain and Northern Ireland Duration: 01 Jul 1998 → 03 Jul 1998 |
Conference
Conference | Proceedings Noblesse Workshop on Non-Linear Model Based Image Analysis |
---|---|
Abbreviated title | NMBIA |
Country/Territory | United Kingdom of Great Britain and Northern Ireland |
City | Glasgow |
Period | 01 Jul 1998 → 03 Jul 1998 |