Advanced Algorithmic Approaches to Medical Image Segmentation, S. Kamaledin Setarehdan; Sameer Singh

Автор: Amar Mitiche; Ismail Ben Ayed
Название: Variational and Level Set Methods in Image Segmentation
ISBN: 3642265626 ISBN-13(EAN): 9783642265624
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Image segmentation is used in a wide range of useful applications such as remote sensing, medicine, robotics, database search, and security. The text provides an overview of level set methods for image and image sequence segmentation.

Автор: King Ngi Ngan; Hongliang Li
Название: Video Segmentation and Its Applications
ISBN: 1489994661 ISBN-13(EAN): 9781489994660
Издательство: Springer
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Цена: 16977.00 р.
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Описание: This book presents the latest advances in video segmentation and analysis techniques and covers the theoretical approaches, real applications and methods developed in the computer vision and video analysis community.

Автор: Ayman S. El-Baz; Rajendra Acharya U; Majid Mirmehd
Название: Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies
ISBN: 1489978135 ISBN-13(EAN): 9781489978134
Издательство: Springer
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Цена: 28732.00 р.
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Описание: Advances in image-guided cancer surgery have enlarged the role of image segmentation and registration. This book reviews current methodologies, to help physicians delineate anatomical structures, enhance the accuracy of diagnosis and improve treatment planning.

Автор: Maria A. Zuluaga; Kanwal Bhatia; Bernhard Kainz; M
Название: Reconstruction, Segmentation, and Analysis of Medical Images
ISBN: 3319522795 ISBN-13(EAN): 9783319522791
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Registration.- Reconstruction.- Deep learning for heart segmentation.- Discrete optimization and probabilistic intensity modeling.- Atlas-based strategies.- Random forests.

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).

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.

Автор: Sourav De; Siddhartha Bhattacharyya; Susanta Chakr
Название: Hybrid Soft Computing for Multilevel Image and Data Segmentation
ISBN: 3319475231 ISBN-13(EAN): 9783319475233
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This book explains efficient solutions for segmenting the intensity levels of different types of multilevel images. The authors present hybrid soft computing techniques, which have advantages over conventional soft computing solutions as they incorporate data heterogeneity into the clustering/segmentation procedures.This is a useful introduction and reference for researchers and graduate students of computer science and electronics engineering, particularly in the domains of image processing and computational intelligence.

Автор: Siddhartha Bhattacharyya; Paramartha Dutta; Sourav
Название: Hybrid Soft Computing for Image Segmentation
ISBN: 3319472224 ISBN-13(EAN): 9783319472225
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book proposes soft computing techniques for segmenting real-life images in applications such as image processing, image mining, video surveillance, and intelligent transportation systems. The book suggests hybrids deriving from three main approaches: fuzzy systems, primarily used for handling real-life problems that involve uncertainty; artificial neural networks, usually applied for machine cognition, learning, and recognition; and evolutionary computation, mainly used for search, exploration, efficient exploitation of contextual information, and optimization.The contributed chapters discuss both the strengths and the weaknesses of the approaches, and the book will be valuable for researchers and graduate students in the domains of image processing and computational intelligence.

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.

Автор: Ju Guo; C.-C. Jay Kuo
Название: Semantic Video Object Segmentation for Content-Based Multimedia Applications
ISBN: 0792375130 ISBN-13(EAN): 9780792375135
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Semantic object extraction is an essential element in content-based multimedia services, such as the newly developed MPEG4 and MPEG7 standards. This title provides a review of techniques as well as describing several novel ideas and algorithms for semantic object extraction from image sequences.

Автор: Ju Guo; C.-C. Jay Kuo
Название: Semantic Video Object Segmentation for Content-Based Multimedia Applications
ISBN: 1461355869 ISBN-13(EAN): 9781461355861
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Semantic Video Object Segmentation for Content-Based Multimedia Applications provides a thorough review of state-of-the-art techniques as well as describing several novel ideas and algorithms for semantic object extraction from image sequences.

Автор: Alireza Bab-Hadiashar; David Suter
Название: Data Segmentation and Model Selection for Computer Vision
ISBN: 1468495089 ISBN-13(EAN): 9781468495089
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This edited volume explores several issues relating to parametric segmentation including robust operations, model selection criteria and automatic model selection, plus 2D and 3D scene segmentation.