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Image Co-segmentation - 2023 ed.

By: (Author) Avik Hati , (Author) Rajbabu Velmurugan , (Author) Sayan Banerjee , (Author) Subhasis Chaudhuri

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Ksh 19,800.00

Format: Hardback or Cased Book

ISBN-10: 9811985693

ISBN-13: 9789811985690

Edition: 2023 ed.

Series: Studies in Computational Intelligence

Publisher: Springer Verlag, Singapore

Imprint: Springer Verlag, Singapore

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Feb 3rd, 2023

Print length: 221 Pages

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This book presents and analyzes methods to perform image co-segmentation. 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.

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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