Ismail Ben Ayed
High-Order Models in Semantic Image Segmentation
Gebonden Engels 2023 9780128053201Levertijd ongeveer 9 werkdagen
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Samenvatting
High-Order Models in Semantic Image Segmentation reviews recent developments in optimization-based methods for image segmentation, presenting several geometric and mathematical models that underlie a broad class of recent segmentation techniques. Focusing on impactful algorithms in the computer vision community in the last 10 years, the book includes sections on graph-theoretic and continuous relaxation techniques, which can compute globally optimal solutions for many problems. The book provides a practical and accessible introduction to these state-of -the-art segmentation techniques that is ideal for academics, industry researchers, and graduate students in computer vision, machine learning and medical imaging.
Specificaties
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Inhoudsopgave
1. Introductory Background<br>2. Basic segmentation models<br>3. Standard optimization techniques<br>4. High-order models<br>5. Advanced optimization: Auxiliary functions and pseudo bounds<br>6. Advanced optimization: Trust region<br>7. Medical imaging applications<br>8. Appendix
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