Image Co-segmentation

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

221 Seiten, Hardcover

Kurzbeschreibung des Verlags

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.

• Reihe: Studies in Computational Intelligence
• Themen: Technologie, Ingenieurswissenschaft, Landwirtschaft, Industrieprozesse Elektronik, Nachrichtentechnik Elektronik
• ISBN: 9789811985690
• Sprache: Englisch
• Erscheinungsdatum: 03.02.2023
• Größe: 23.5 x 15.5 cm
• Verlag: Springer Singapore