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 visi...
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| Format: | eBook |
| Language: | English |
| Published: |
London :
Academic Press,
[2023]
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| Online Access: | Connect to the full text of this electronic 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 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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| Physical Description: | 1 online resource (1 volume) : illustrations (some color) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9780128092293 0128092297 |