Abstract
The chapter focuses on modern computer vision algorithms, used to extract robust multi-scale differential features from discrete images, like corners, T-junctions, edges. The algorithms have an axiomatic basis, and are inspired by modern insights in possible functional circuits in the visual system in the human brain. Applications focus on computer-aided diagnosis and industrial vision tasks.
| Original language | English |
|---|---|
| Title of host publication | Mathematical optics |
| Subtitle of host publication | Classical, Quantum, and Computational Methods |
| Editors | V. Lakshminarayanan |
| Place of Publication | Boca Raton |
| Publisher | CRC Press |
| Pages | 581-597 |
| Number of pages | 17 |
| ISBN (Electronic) | 9781439869611 |
| ISBN (Print) | 978-1-4398-6960-4 |
| DOIs | |
| Publication status | Published - 2013 |