Image co-segmentation / Avik Hati, Rajbabu Velmurugan, Sayan Banerjee, Subhasis Chaudhuri.

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Image co-segmentation / Avik Hati, Rajbabu Velmurugan, Sayan Banerjee, Subhasis Chaudhuri.

9789811985706 (electronic bk.)
9811985707 (electronic bk.)
9789811985690

Singapore : Springer, [2023]

©2023

English

1 online resource (xiv, 221 pages) : illustrations (chiefly color),.

10.1007/978-981-19-8570-6 doi

TA1638.4

006.6

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.

Includes bibliographical references.

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Online resource; title from PDF title page (SpringerLink, viewed February 6, 2023).

Studies in computational intelligence ; volume 1082.

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