Название: Image Co-segmentation
Автор: Avik Hati, Rajbabu Velmurugan, Sayan Banerjee
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2023
Страниц: 231
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB
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. Image segmentation is a classical and well-known problem in image processing, where an image is partitioned into non-overlapping regions.