Image Co-segmentation

By: Avik Hati, Subhasis Chaudhuri, Sayan Banerjee, Rajbabu Velmurugan

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Paperback | 17 February 2024

At a Glance

Paperback
236 Pages

Dimensions(cm)
23.5 x 15.5 x 1.27

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$199.00

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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 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.

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