Video Segmentation and Its Applications, King Ngi Ngan; Hongliang Li

Автор: Mousmita Sarma; Kandarpa Kumar Sarma
Название: Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework
ISBN: 8132218612 ISBN-13(EAN): 9788132218616
Издательство: Springer
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Цена: 121890.00 T
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Описание: The book discusses intelligent system design using soft computing and similar systems and their interdisciplinary applications. It also focuses on the recent trends to use soft computing as a versatile tool for designing a host of decision support systems.

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: 60940.00 T
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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: Yan Chai Hum
Название: Segmentation of Hand Bone for Bone Age Assessment
ISBN: 9814451657 ISBN-13(EAN): 9789814451659
Издательство: Springer
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Цена: 65290.00 T
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Описание: The objective of this Brief is to provide a solution to the unsolved technical problem in segmentation for the automated bone age assessment system. It is followed by a novel fuzzy quadruple division scheme to optimize the central segmentation algorithm, and then an additional quality assurance scheme.

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: 88500.00 T
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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: 102480.00 T
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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: Ales Jaklic; Ales Leonardis; F. Solina
Название: Segmentation and Recovery of Superquadrics
ISBN: 0792366018 ISBN-13(EAN): 9780792366010
Издательство: Springer
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Цена: 136910.00 T
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Описание: This work covers the geometric properties of superquadrics, primarily the recovery and segmentation of superquadrics from range images. Applications of superquadrics in computer vision and robotics are discussed and the use of superquadrics for range image registration is demonstrated.

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: 121110.00 T
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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: 93160.00 T
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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: 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: 46570.00 T
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Описание: Registration.- Reconstruction.- Deep learning for heart segmentation.- Discrete optimization and probabilistic intensity modeling.- Atlas-based strategies.- Random forests.

Автор: Dagmar Kainmueller
Название: Deformable Meshes for Medical Image Segmentation
ISBN: 3658070145 ISBN-13(EAN): 9783658070144
Издательство: Springer
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Цена: 60940.00 T
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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.

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: 191550.00 T
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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: Mousmita Sarma; Kandarpa Kumar Sarma
Название: Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework
ISBN: 8132235150 ISBN-13(EAN): 9788132235156
Издательство: Springer
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Цена: 104480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book discusses intelligent system design using soft computing and similar systems and their interdisciplinary applications. It also focuses on the recent trends to use soft computing as a versatile tool for designing a host of decision support systems.