Image Co-segmentation

di Avik Hati (Autore)

Rajbabu Velmurugan (Autore)

Sayan Banerjee (Autore)

Springer Verlag, Singapore, 2024

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.

• Autore: Avik Hati, Rajbabu Velmurugan, Sayan Banerjee
• Editore: Springer Verlag, Singapore
• Collana: Studies in Computational Intelligence
• Anno: 2024
• Rilegatura: Paperback / softback
• Pagine: 221 p.
• Dimensioni: 235 x 155 mm
• Peso: 367 gr.
• EAN: 9789811985720

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