Image Co-segmentation Paperback / softback
by Avik Hati, Rajbabu Velmurugan, Sayan Banerjee, Subhasis Chaudhuri
Part of the Studies in Computational Intelligence series
Paperback / softback
Description
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.
Information
-
Out of stock
- Format:Paperback / softback
- Pages:221 pages, 110 Illustrations, color; 8 Illustrations, black and white; XIV, 221 p. 118 illus., 110 i
- Publisher:Springer Verlag, Singapore
- Publication Date:03/02/2024
- Category:
- ISBN:9789811985720
Other Formats
- Hardback from £107.29
Information
-
Out of stock
- Format:Paperback / softback
- Pages:221 pages, 110 Illustrations, color; 8 Illustrations, black and white; XIV, 221 p. 118 illus., 110 i
- Publisher:Springer Verlag, Singapore
- Publication Date:03/02/2024
- Category:
- ISBN:9789811985720
