Image Co-segmentation (eBook)

Sayan Banerjee, Subhasis Chaudhuri, Avik Hati, Rajbabu Velmurugan (Autoren)

eBook Download: EPUB

2023
Springer Nature Singapore (Verlag)
978-981-19-8570-6 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 2.2.2023
• Sprache: englisch
• Themenwelt: Informatik ► Grafik / Design ► Digitale Bildverarbeitung
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• ISBN-10: 981-19-8570-7 / 9811985707
• ISBN-13: 978-981-19-8570-6 / 9789811985706