Image Co-segmentation
This book presents and analyzes methods to perform image co-segmentation. In this book, the authors describe efficient solutions to this problem ensuring robustness and accuracy, and provide theoretical analysis for the same. Six different methods for image co-segmentation are presented. These metho...
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| Hlavní autoři: | , , , |
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| Korporativní autor: | |
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2023.
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| Vydání: | 1st ed. 2023. |
| Edice: | Studies in Computational Intelligence,
1082 |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/978-981-19-8570-6 |
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| Shrnutí: | This book presents and analyzes methods to perform image co-segmentation. In this book, the authors describe efficient solutions to this problem ensuring robustness and accuracy, and provide theoretical analysis for the same. Six different methods for image co-segmentation are presented. These methods use concepts from statistical mode detection, subgraph matching, latent class graph, region growing, graph CNN, conditional encoder–decoder network, meta-learning, conditional variational encoder–decoder, and attention mechanisms. The authors have included several block diagrams and illustrative examples for the ease of readers. This book is a highly useful resource to researchers and academicians not only in the specific area of image co-segmentation but also in related areas of image processing, graph neural networks, statistical learning, and few-shot learning. |
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| Fyzický popis: | 1 online resource (XIV, 221 p. 118 illus.). 110 illus. in color. |
| ISBN: | 9789811985706 |
| ISSN: | 1860-9503 ; |
| DOI: | 10.1007/978-981-19-8570-6 |