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Book synopsis

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.

Book details

Book category Books in English Technology, engineering, agriculture Electronics & communications engineering Electronics engineering

• Full title: Image Co-segmentation
• Author: Avik Hati, Rajbabu Velmurugan, Sayan Banerjee, Subhasis Chaudhuri
• Language: English
• Binding: Hardback
• Number of pages: 224
• EAN: 9789811985690
• ID: 42079263
• Publisher: Springer, Berlin
• Weight: 567 g
• Dimensions: 235 × 155 mm
• Published: 2023

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