Studies in Computational Intelligence

Hati, Avik; Velmurugan, Rajbabu; Banerjee, Sayan; Chaudhuri, Subhasis

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.

Details

Published by: Springer

Publication Date: 2023-02-03

Format: Hardcover

ISBN-13: 9789811985690

DOI: 10.1007/978-981-19-8570-6

Dimensions: 235cm x155cm

Pages: 221