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Image Co-segmentation - Subhasis Chaudhuri,Avik Hati,Sayan Banerjee,Rajbabu Velmurugan

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2023-02-03
144,13 € 240,22 €

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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 ... Pilns apraksts

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Aprašymas

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.

Vairāk informācijas

Autors Subhasis Chaudhuri, Avik Hati, Sayan Banerjee, Rajbabu Velmurugan
Izdevējs Springer Nature Singapore
Series Studies in Computational Intelligence
Izlaides gads 2023
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EAN 9789811985690
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144,13 € 240,22 €