Image Co-segmentation
Author | : Avik Hati |
Publisher | : Springer Nature |
Total Pages | : 231 |
Release | : 2023-02-02 |
ISBN-10 | : 9789811985706 |
ISBN-13 | : 9811985707 |
Rating | : 4/5 (707 Downloads) |
Download or read book Image Co-segmentation written by Avik Hati and published by Springer Nature. This book was released on 2023-02-02 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.