Variational and Level Set Methods in Image Segmentation, Amar Mitiche; Ismail Ben Ayed
Автор: Siddhartha Bhattacharyya; Paramartha Dutta; Sourav Название: Hybrid Soft Computing for Image Segmentation ISBN: 3319472224 ISBN-13(EAN): 9783319472225 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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 Li; Robert M. Gray Название: Image Segmentation and Compression Using Hidden Markov Models ISBN: 1461370272 ISBN-13(EAN): 9781461370277 Издательство: Springer Рейтинг: Цена: 139750.00 T 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: Vese Название: Variational Methods in Image Processing ISBN: 1439849730 ISBN-13(EAN): 9781439849736 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Невозможна поставка. Описание:
Variational Methods in Image Processing presents the principles, techniques, and applications of variational image processing. The text focuses on variational models, their corresponding Euler-Lagrange equations, and numerical implementations for image processing. It balances traditional computational models with more modern techniques that solve the latest challenges introduced by new image acquisition devices.
The book addresses the most important problems in image processing along with other related problems and applications. Each chapter presents the problem, discusses its mathematical formulation as a minimization problem, analyzes its mathematical well-posedness, derives the associated Euler-Lagrange equations, describes the numerical approximations and algorithms, explains several numerical results, and includes a list of exercises. MATLAB(R) codes are available online.
Filled with tables, illustrations, and algorithms, this self-contained textbook is primarily for advanced undergraduate and graduate students in applied mathematics, scientific computing, medical imaging, computer vision, computer science, and engineering. It also offers a detailed overview of the relevant variational models for engineers, professionals from academia, and those in the image processing industry.
Автор: Amar Mitiche; J.K. Aggarwal Название: Computer Vision Analysis of Image Motion by Variational Methods ISBN: 3319375474 ISBN-13(EAN): 9783319375472 Издательство: Springer Рейтинг: Цена: 95770.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents a unified view of image motion analysis under the variational framework. It addresses the four core subjects of motion analysis: motion estimation, detection, tracking, and three-dimensional interpretation.
Автор: Amar Mitiche; J.K. Aggarwal Название: Computer Vision Analysis of Image Motion by Variational Methods ISBN: 3319007106 ISBN-13(EAN): 9783319007106 Издательство: Springer Рейтинг: Цена: 130610.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents a unified view of image motion analysis under the variational framework. It addresses the four core subjects of motion analysis: motion estimation, detection, tracking, and three-dimensional interpretation.
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: 176970.00 T 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: Sourav De; Siddhartha Bhattacharyya; Susanta Chakr Название: Hybrid Soft Computing for Multilevel Image and Data Segmentation ISBN: 3319475231 ISBN-13(EAN): 9783319475233 Издательство: Springer Рейтинг: Цена: 88500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: 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 Рейтинг: Цена: 191550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: S. Kamaledin Setarehdan; Sameer Singh Название: Advanced Algorithmic Approaches to Medical Image Segmentation ISBN: 1447110439 ISBN-13(EAN): 9781447110439 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Medical imaging is an important topic and plays a key role in robust diagnosis and patient care. It has experienced an explosive growth over the last few years due to imaging modalities such as X-rays, computed tomography (CT), magnetic resonance (MR) imaging, and ultrasound.
Автор: Xue-Cheng Tai; Knut Morken; Marius Lysaker; Knut-A Название: Scale Space and Variational Methods in Computer Vision ISBN: 3642022553 ISBN-13(EAN): 9783642022555 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book contains 71 original, scienti?c articles that address state-of-the-art researchrelatedto scale space and variationalmethods for image processing and computer vision.
Автор: Otmar Scherzer; Markus Grasmair; Harald Grossauer; Название: Variational Methods in Imaging ISBN: 1441921664 ISBN-13(EAN): 9781441921666 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: With its mathematically rigorous presentation, this book is a detailed treatment of the approach from an inverse problems point of view. It is geared towards graduate students and researchers in applied mathematics and can serve as a text for graduate courses.
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 Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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