Segmentation and Recovery of Superquadrics, Ales Jaklic; Ales Leonardis; F. Solina

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.

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: 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: Bir Bhanu; Sungkee Lee
Название: Genetic Learning for Adaptive Image Segmentation
ISBN: 0792394917 ISBN-13(EAN): 9780792394914
Издательство: Springer
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Цена: 27944.00 р.
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Описание: Genetic Learning for Adaptive Image Segmentation presents the first closed-loop image segmentation system that incorporates genetic and other algorithms to adapt the segmentation process to changes in image characteristics caused by variable environmental conditions, such as time of day, time of year, weather, etc.

Автор: Mark Nitzberg; David Mumford; Takahiro Shiota
Название: Filtering, Segmentation and Depth
ISBN: 3540564845 ISBN-13(EAN): 9783540564843
Издательство: Springer
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Цена: 9781.00 р.
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Описание: An exploration of computer vision which addresses the low-level image processing issues of noise removal and smoothing, describes a robust contour tracing algorithm that produces a cartoon of the important lines in any image, and explains how to reconstruct the geometry of objects in a scene.

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: Bir Bhanu; Sungkee Lee
Название: Genetic Learning for Adaptive Image Segmentation
ISBN: 1461361982 ISBN-13(EAN): 9781461361985
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Genetic Learning for Adaptive Image Segmentation presents the first closed-loop image segmentation system that incorporates genetic and other algorithms to adapt the segmentation process to changes in image characteristics caused by variable environmental conditions, such as time of day, time of year, weather, etc.