Image Co-Segmentation

By Rajbabu Velmurugan, Avik Hati, Sayan Banerjee

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.

• Format: Hardcover
• Language: English
• ISBN: 9811985693
• ISBN13: 9789811985690
• Release Date: February 2023
• Publisher: Springer
• Length: 221 Pages
• Weight: 1.20 lbs.
• Dimensions: 0.3" x 6.0" x 9.1"