Image Co-segmentation

di Sayan Banerjee (Autore)

Subhasis Chaudhuri (Autore)

Avik Hati (Autore)

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Springer, 2023

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: Sayan Banerjee, Subhasis Chaudhuri, Avik Hati
• Anno edizione: 2023
• Editore: Springer
• Formato: EPUB3 con Adobe DRM
• Compatibilità: Tutti i dispositivi (eccetto Kindle)
• Layout: Reflowable
• EAN: 9789811985706

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