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.
Название: Biomedical Image Segmentation ISBN: 1482258552 ISBN-13(EAN): 9781482258554 Издательство: Taylor&Francis Рейтинг: Цена: 41342.00 р. Наличие на складе: Нет в наличии.
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.
Автор: Meera Ramadas; Ajith Abraham Название: Metaheuristics for Data Clustering and Image Segmentation ISBN: 3030040968 ISBN-13(EAN): 9783030040963 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Jia He; Chang-Su Kim; C.-C. Jay Kuo Название: Interactive Segmentation Techniques ISBN: 9814451592 ISBN-13(EAN): 9789814451598 Издательство: Springer Рейтинг: Цена: 9141.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Dagmar Kainmueller Название: Deformable Meshes for Medical Image Segmentation ISBN: 3658070145 ISBN-13(EAN): 9783658070144 Издательство: Springer Рейтинг: Цена: 9141.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Jia Li; Robert M. Gray Название: Image Segmentation and Compression Using Hidden Markov Models ISBN: 0792378997 ISBN-13(EAN): 9780792378990 Издательство: Springer Рейтинг: Цена: 26546.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Raul Serapioni; Franco Tomarelli Название: Variational Methods for Discontinuous Structures ISBN: 3764352736 ISBN-13(EAN): 9783764352738 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Jia Li; Robert M. Gray Название: Image Segmentation and Compression Using Hidden Markov Models ISBN: 1461370272 ISBN-13(EAN): 9781461370277 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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).
Автор: Zhou,S. Kevin Название: Medical Image Recognition, Segmentation And Parsing ISBN: 0128025816 ISBN-13(EAN): 9780128025819 Издательство: Elsevier Science Рейтинг: Цена: 18022.00 р. Наличие на складе: Поставка под заказ.
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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