A selection of image understanding techniques :, Zhang, Yu-Jin,

Автор: K. Kamalanand, B. Thayumanavan, P. Mannar Jawahar
Название: Computational Techniques for Dental Image Analysis
ISBN: 1522562435 ISBN-13(EAN): 9781522562436
Издательство: Mare Nostrum (Eurospan)
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Цена: 236010.00 T
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Описание: With the technology innovations dentistry has witnessed in all its branches over the past three decades, the need for more precise diagnostic tools and advanced imaging methods has become mandatory across the industry. Recent advancements to imaging systems are playing an important role in efficient diagnoses, treatments, and surgeries.Computational Techniques for Dental Image Analysis provides innovative insights into computerized methods for automated analysis. The research presented within this publication explores pattern recognition, oral pathologies, and diagnostic processing. It is designed for dentists, professionals, medical educators, medical imaging technicians, researchers, oral surgeons, and students, and covers topics centered on easier assessment of complex cranio-facial tissues and the accurate diagnosis of various lesions at early stages.

Автор: Zhang Yu-Jin
Название: A Selection of Image Processing Techniques: From Fundamentals to Research Front
ISBN: 103214839X ISBN-13(EAN): 9781032148397
Издательство: Taylor&Francis
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Цена: 127600.00 T
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Описание: This book focuses on seven commonly used image processing techniques. These are Image de-noising, Image de-blurring, Image repairing, Image de-fogging, Image reconstruction from projection, Image watermarking, and Image super-resolution.

Автор: Cem ?nsalan; Kim L. Boyer
Название: Multispectral Satellite Image Understanding
ISBN: 1447126564 ISBN-13(EAN): 9781447126560
Издательство: Springer
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Цена: 130430.00 T
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Описание: Covering image processing methods for analyzing residential land use, this book combines theoretical framework with practical applications, and describes a high resolution system for effective detection of single houses, vegetation and shadow-water indices.

Автор: White, Brian E. (cau Ses (complexity Are Us Systems Engineering Strategies), Sudbury, Massachusetts, Usa)
Название: Toward solving complex human problems
ISBN: 0367638487 ISBN-13(EAN): 9780367638481
Издательство: Taylor&Francis
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Цена: 56130.00 T
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Описание: Readers will learn more about CS characteristics and behaviors, and CSE principles, and will therefore be able to focus on techniques that will better serve them in their working/everyday environments in dealing with complexity.

Автор: Dahlhaus
Название: Mathematical methods in time series analysis and digital image processing
ISBN: 3540756310 ISBN-13(EAN): 9783540756316
Издательство: Springer
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Цена: 111790.00 T
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Описание: Intends to bring together research directions in theoretical signal and imaging processing developed rather independently in electrical engineering, theoretical physics, mathematics and the computer sciences. This book summarizes work carried out in the field of theoretical signal and image processing.

Автор: Md. Atiqur Rahman Ahad
Название: Computer Vision and Action Recognition
ISBN: 9462390584 ISBN-13(EAN): 9789462390584
Издательство: Springer
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Цена: 93160.00 T
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Описание: Human action analyses and recognition are challenging problems due to large variations in human motion and appearance, camera viewpoint and environment settings. Among those methods, some methods get significant attention from many researchers in the computer vision field due to their better robustness and performance.

Автор: Chetouani
Название: Human Behavior Understanding
ISBN: 3319468421 ISBN-13(EAN): 9783319468426
Издательство: Springer
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Цена: 39130.00 T
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Описание: This book constitutes the refereed proceedings of the 7th International Workshop on Human Behavior Understanding, HBU 2016, held in Amsterdam, The Netherlands, in October 2016. The 10 full papers were carefully reviewed and selected from 17 initial submissions. They are organized in topical sections named: behavior analysis during play;

Автор: Yue Deng
Название: High-Dimensional and Low-Quality Visual Information Processing
ISBN: 3662445255 ISBN-13(EAN): 9783662445259
Издательство: Springer
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Цена: 93160.00 T
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Описание: After exploring the inherent structures of the visual data, it proposes a number of computational models covering an extensive range of mathematical topics, including compressive sensing, graph theory, probabilistic learning and information theory.

Автор: Mar?a Vald?s Hern?ndez; V?ctor Gonz?lez-Castro
Название: Medical Image Understanding and Analysis
ISBN: 3319609637 ISBN-13(EAN): 9783319609638
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book constitutes the refereed proceedings of the 21st Annual Conference on Medical Image Understanding and Analysis, MIUA 2017, held in Edinburgh, UK, in July 2017.
The 82 revised full papers presented were carefully reviewed and selected from 105 submissions. The papers are organized in topical sections on retinal imaging, ultrasound imaging, cardiovascular imaging, oncology imaging, mammography image analysis, image enhancement and alignment, modeling and segmentation of preclinical, body and histological imaging, feature detection and classification.
The chapters 'Model-Based Correction of Segmentation Errors in Digitised Histological Images' and 'Unsupervised Superpixel-Based Segmentation of Histopathological Images with Consensus Clustering' are open access under a CC BY 4.0 license.

Автор: Paul J. Besl
Название: Surfaces in Range Image Understanding
ISBN: 1461283965 ISBN-13(EAN): 9781461283966
Издательство: Springer
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Цена: 111790.00 T
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Описание: Its aims are to develop a theoretical framework, devise appropriate algorithms, and demonstrate a software implementation of those algorithms that will confirm the usefulness of surfaces in range image understanding.

Автор: Yujin Zhang
Название: Image Understanding
ISBN: 3110520346 ISBN-13(EAN): 9783110520347
Издательство: Walter de Gruyter
Цена: 74320.00 T
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Описание: This graduate textbook explains image reconstruction technologies based on region-based binocular and trinocular stereo vision, and object, pattern and relation matching. It further discusses principles and applications of multi-sensor fusion and content-based retrieval. Rich in examples and excises, the book concludes image engineering studies for electrical engineering and computer science students.

Автор: Takashi Matsuyama; Vincent Shang-Shouq Hwang
Название: SIGMA
ISBN: 030643301X ISBN-13(EAN): 9780306433016
Издательство: Springer
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Цена: 139710.00 T
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Описание: It has long been a dream to realize machines with flexible visual perception capability. Research on digital image processing by computers was initiated about 30 years ago, and since then a wide variety of image processing algorithms have been devised. Using such image processing algorithms and advanced hardware technologies, many practical ma- chines with visual recognition capability have been implemented and are used in various fields: optical character readers and design chart readers in offices, position-sensing and inspection systems in factories, computer tomography and medical X-ray and microscope examination systems in hospitals, and so on. Although these machines are useful for specific tasks, their capabilities are limited. That is, they can analyze only simple images which are recorded under very carefully adjusted photographic conditions: objects to be recognized are isolated against a uniform background and under well-controlled artificial lighting. In the late 1970s, many image understanding systems were de- veloped to study the automatic interpretation of complex natural scenes. They introduced artificial intelligence techniques to represent the knowl- edge about scenes and to realize flexible control structures. The first author developed an automatic aerial photograph interpretation system based on the blackboard model (Naga1980). Although these systems could analyze fairly complex scenes, their capabilities were still limited; the types of recognizable objects were limited and various recognition vii viii Preface errors occurred due to noise and the imperfection of segmentation algorithms.