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High-order Models In Semantic Image Segmentation

High-order Models In Semantic Image Segmentation - Ben Ayed, Ismail (professor, Departement De Genie De La Production Automatisee, Ets, Montreal, Canada) - ISBN: 9780128053201
Prijs: € 104,60 (onder voorbehoud)
Beschikbaarheid: Nog niet verschenen.
Bindwijze: Boek, Gebonden
Genre: Communicatiekunde
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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.

  • Gives an intuitive and conceptual understanding of this mathematically involved subject by using a large number of graphical illustrations
  • Provides the right amount of knowledge to apply sophisticated techniques for a wide range of new applications
  • Contains numerous tables that compare different algorithms, facilitating the appropriate choice of algorithm for the intended application
  • Presents an array of practical applications in computer vision and medical imaging
  • Includes code for many of the algorithms that is available on the book s companion website


Titel: High-order Models In Semantic Image Segmentation
auteur: Ben Ayed, Ismail (professor, Departement De Genie De La Production Automatisee, Ets, Montreal, Canada)
Mediatype: Boek
Bindwijze: Gebonden
Taal: Engels
Aantal pagina's: 250
Uitgever: Elsevier Science Publishing Co Inc
NUR: Communicatiekunde
Afmetingen: 229 x 152
ISBN/ISBN13: 9780128053201
Intern nummer: 41577259

Biografie (woord)

Ismail Ben Ayed received a Ph.D. degree (with the highest honor) in the area of computer vision from the National Institute of Scientific Research (INRS-EMT), University of Quebec, Montreal, QC, Canada, in May 2007, under the guidance of Professor Amar Mitiche. Since then, he has been a research scientist with GE Healthcare, London, ON, Canada, conducting research in medical image analysis. He also holds an Adjunct Professor appointment at Western University, department of Medical Biophysics. He co-authored a book, over 50 peer-reviewed papers in reputable journals and conferences, and six patents. He received a GE recognition award in 2012 and a GE innovation award in 2010

Ismail Ben Ayed is an image segmentation and optimization expert who has authored over 60 peer-reviewed articles in the field and has co-authored the book Variational and Level Set Methods in Image Segmentation, 2011, which is receiving a high citation rate.

Extra informatie

Teaches readers how to apply state-of-the-art segmentation techniques


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