Image Co-segmentation
Avik Hati, Rajbabu Velmurugan, Sayan Banerjee, Subhasis Chaudhuri
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.
Anno:
2023
Casa editrice:
Springer Nature
Lingua:
english
Pagine:
231
ISBN 10:
9811985693
ISBN 13:
9789811985690
File:
EPUB, 85.38 MB
IPFS:
,
english, 2023
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