High Order Models in Semantic Image Segmentation
  • Release Date : 01 October 2018
  • Publisher : Academic Press
  • Categories : Computers
  • Pages : 250 pages
  • ISBN 13 : 0128053208
  • ISBN 10 : 9780128053201
Score: 4
From 245 Ratings

Synopsis : High Order Models in Semantic Image Segmentation written by Ismail Ben Ayed, published by Academic Press which was released on 01 October 2018. Download High Order Models in Semantic Image Segmentation Books now! Available in PDF, EPUB, Mobi Format. 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