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portada High-Order Models in Semantic Image Segmentation
Type
Physical Book
Publisher
Author
Language
English
Pages
250
Format
Hardcover
ISBN13
9780128053201
Edition No.
1

High-Order Models in Semantic Image Segmentation

Ismail Ben Ayed (Author) · Academic Press · Hardcover

High-Order Models in Semantic Image Segmentation - Ismail Ben Ayed

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Synopsis "High-Order Models in Semantic Image Segmentation"

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.

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The binding of this edition is Hardcover.

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