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.
| Autorius: | Avik Hati, Subhasis Chaudhuri, Sayan Banerjee, Rajbabu Velmurugan, |
| Serija: | Studies in Computational Intelligence |
| Leidėjas: | Springer Nature Singapore |
| Išleidimo metai: | 2024 |
| Knygos puslapių skaičius: | 236 |
| ISBN-10: | 9811985723 |
| ISBN-13: | 9789811985720 |
| Formatas: | Knyga minkštu viršeliu |
| Kalba: | Anglų |
| Žanras: | Electronics engineering |
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