Image Co-segmentation - Softcover

Hati, Avik; Velmurugan, Rajbabu; Banerjee, Sayan

Softcover

ISBN 10: 9811985715 ISBN 13: 9789811985713

Publisher: Springer, 2023

Synopsis

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.

Edition details

• Publisher: Springer
• Publication date: 2023
• Language: English
• ISBN 10: 9811985715
• ISBN 13: 9789811985713
• Binding: Paperback
• Number of pages: 236