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Image Co-segmentation, Hati


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Цена: 18167.00р.
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Автор: Hati
Название:  Image Co-segmentation
ISBN: 9789811985706
Издательство: Springer
Классификация: ISBN-10: 9811985707
Вес: 0.00 кг.
Дата издания: 16.02.2023
Язык: English
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии


Image Co-segmentation

Автор: Hati
Название: Image Co-segmentation
ISBN: 9811985693 ISBN-13(EAN): 9789811985690
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
Наличие на складе: Поставка под заказ.

Описание: 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.

Biomedical Image Segmentation

Название: Biomedical Image Segmentation
ISBN: 1482258552 ISBN-13(EAN): 9781482258554
Издательство: Taylor&Francis
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Цена: 41342.00 р.
Наличие на складе: Нет в наличии.

Image Co-segmentation

Автор: Hati
Название: Image Co-segmentation
ISBN: 9811985723 ISBN-13(EAN): 9789811985720
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 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.

An Objective Evaluation of Four Sar Image Segmentation Algorithms

Автор: Gregga Jason B.
Название: An Objective Evaluation of Four Sar Image Segmentation Algorithms
ISBN: 1288319576 ISBN-13(EAN): 9781288319572
Издательство: Неизвестно
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Цена: 10658.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Metaheuristics for Data Clustering and Image Segmentation

Автор: Meera Ramadas; Ajith Abraham
Название: Metaheuristics for Data Clustering and Image Segmentation
ISBN: 3030040968 ISBN-13(EAN): 9783030040963
Издательство: Springer
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Цена: 13974.00 р.
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Описание: In this book, differential evolution and its modified variants are applied to the clustering of data and images. Metaheuristics have emerged as potential algorithms for dealing with complex optimization problems, which are otherwise difficult to solve using traditional methods. In this regard, differential evolution is considered to be a highly promising technique for optimization and is being used to solve various real-time problems. The book studies the algorithms in detail, tests them on a range of test images, and carefully analyzes their performance. Accordingly, it offers a valuable reference guide for all researchers, students and practitioners working in the fields of artificial intelligence, optimization and data analytics.

Interactive Segmentation Techniques

Автор: Jia He; Chang-Su Kim; C.-C. Jay Kuo
Название: Interactive Segmentation Techniques
ISBN: 9814451592 ISBN-13(EAN): 9789814451598
Издательство: Springer
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Цена: 9141.00 р.
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Описание: This book will first introduce classic graph-cut segmentation algorithms and then discuss state-of-the-art techniques, including graph matching methods, region merging and label propagation, clustering methods, and segmentation methods based on edge detection.

Deformable Meshes for Medical Image Segmentation

Автор: Dagmar Kainmueller
Название: Deformable Meshes for Medical Image Segmentation
ISBN: 3658070145 ISBN-13(EAN): 9783658070144
Издательство: Springer
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Цена: 9141.00 р.
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Описание: ГЇВїВЅ Segmentation of anatomical structures in medical image data is an essential task in clinical practice. As for practical contributions, she proposes application-specific segmentation pipelines for a range of anatomical structures, together with thorough evaluations of segmentation accuracy on clinical image data.

Image Segmentation and Compression Using Hidden Markov Models

Автор: Jia Li; Robert M. Gray
Название: Image Segmentation and Compression Using Hidden Markov Models
ISBN: 0792378997 ISBN-13(EAN): 9780792378990
Издательство: Springer
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Цена: 26546.00 р.
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Описание: Image segmentation is a process for dividing an image into its constituent parts. This volume presents an algorithm that models the statistical dependence among image blocks by two dimensional hidden Markov models (HMMs). It is useful for researchers and engineers working in statistical signal processing or image processing.

Variational Methods for Discontinuous Structures

Автор: Raul Serapioni; Franco Tomarelli
Название: Variational Methods for Discontinuous Structures
ISBN: 3764352736 ISBN-13(EAN): 9783764352738
Издательство: Springer
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Цена: 18167.00 р.
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Описание: In years, many researchers in material science have focused their attention on the study of composite materials, equilibrium of crystals and crack distribution in continua subject to loads. At the same time, several new issues in computer vision and image processing have been studied in depth.

Image Segmentation and Compression Using Hidden Markov Models

Автор: Jia Li; Robert M. Gray
Название: Image Segmentation and Compression Using Hidden Markov Models
ISBN: 1461370272 ISBN-13(EAN): 9781461370277
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Conventional block-based segmentation algorithms classify each block separately, assuming independence of feature vectors. Image Segmentation and Compression Using Hidden Markov Models presents a new algorithm that models the statistical dependence among image blocks by two dimensional hidden Markov models (HMMs).

Medical Image Recognition, Segmentation And Parsing

Автор: Zhou,S. Kevin
Название: Medical Image Recognition, Segmentation And Parsing
ISBN: 0128025816 ISBN-13(EAN): 9780128025819
Издательство: Elsevier Science
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Цена: 18022.00 р.
Наличие на складе: Поставка под заказ.

Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges

Автор: Mihaela Pop; Maxime Sermesant; Jichao Zhao; Shuo L
Название: Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges
ISBN: 3030120287 ISBN-13(EAN): 9783030120283
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the thoroughly refereed post-workshop proceedings of the 9th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 52 revised full workshop papers were carefully reviewed and selected from 60 submissions. The topics of the workshop included: cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction, statistical modelling of cardiac function across different patient populations, cardiac computational physiology, model customization, atlas based functional analysis, ontological schemata for data and results, integrated functional and structural analyses, as well as the pre-clinical and clinical applicability of these methods.


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