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Image Co-segmentation

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

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Image Co-segmentation

By: 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.

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Page Count

231

Publisher

Springer Nature

Published Date

ISBN 10

9811985707

ISBN 13

9789811985706

Image Co-segmentation

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

Write a review Read reviews Take a Quiz Solve Book Puzzle

Image Co-segmentation

By: 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.

Average ratings

N/A

5

0%

4

0%

3

0%

2

0%

1

0%

Solve jigsaw puzzle

Age

Page Count

231

Publisher

Springer Nature

Published Date

ISBN 10

9811985707

ISBN 13

9789811985706