Image Co-segmentation - Subhasis Chaudhuri,Avik Hati,Sayan Banerjee,Rajbabu Velmurugan
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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 ... Full description
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Description
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.
More Information
| Author | Subhasis Chaudhuri, Avik Hati, Sayan Banerjee, Rajbabu Velmurugan |
|---|---|
| Publisher | Springer Nature Singapore |
| Series | Studies in Computational Intelligence |
| Release year | 2023 |
| Cover type | Hardcover |
| EAN | 9789811985690 |