High Order Models in Semantic Image Segmentation

Written By Ismail Ben Ayed
High Order Models in Semantic Image Segmentation
  • Publsiher : Academic Press
  • Release : 01 October 2018
  • ISBN : 9780128053201
  • Pages : 250 pages
  • Rating : /5 from reviews
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Download or read book entitled High Order Models in Semantic Image Segmentation by author: Ismail Ben Ayed which was release on 01 October 2018 and published by Academic Press with total page 250 pages . This book available in PDF, EPUB and Kindle 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

High Order Models in Semantic Image Segmentation

High Order Models in Semantic Image Segmentation
  • Author : Ismail Ben Ayed
  • Publisher : Academic Press
  • Release Date : 2018-10
  • Total pages : 250
  • ISBN : 9780128053201
GET BOOK

Summary : 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 ...

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Summary : This two-volume set LNCS 11437 and 11438 constitutes the refereed proceedings of the 41st European Conference on IR Research, ECIR 2019, held in Cologne, Germany, in April 2019. The 48 full papers presented together with 2 keynote papers, 44 short papers, 8 demonstration papers, 8 invited CLEF papers, 11 doctoral consortium papers, 4 workshop papers, and 4 tutorials were carefully reviewed and ...

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