Image Co-segmentation (Hardcover, 1st ed. 2023)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Studies in Computational Intelligence, 1082
Release date:	February 2023
First published:	2023
Authors:	Avik Hati • Rajbabu Velmurugan • Sayan Banerjee • Subhasis Chaudhuri
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	224
Edition:	1st ed. 2023
ISBN-13:	978-981-19-8569-0
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General Promotions
LSN:	981-19-8569-3
Barcode:	9789811985690

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