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Feature Extraction and Image Processing for Computer Vision, By Mark Nixon, BSc, MSc, PhD, Professor of Electro


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Автор: By Mark Nixon, BSc, MSc, PhD, Professor of Electro
Название:  Feature Extraction and Image Processing for Computer Vision
ISBN: 9780443366864
Издательство: Elsevier Science
Классификация:


ISBN-10: 0443366861
Обложка/Формат: Paperback
Страницы: 701
Вес: 0.00 кг.
Дата издания: 01.08.2025
Издание: 5 ed
Размер: 235 x 191
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: Feature Extraction and Image Processing for Computer Vision, Fifth Edition is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated, providing a link between theory and implementation. Essential background theory is carefully explained. This text gives students and researchers in image processing and computer vision a complete introduction to classic and state-of-the art methods in feature extraction together with practical guidance on their implementation.
Дополнительное описание: Concentrates on feature extraction with working implementation and worked through mathematical derivations and algorithmic methodsProvides a thorough overview of available feature extraction methods, including essential background theory, shape methods, t



      Старое издание
Feature Extraction and Image Processing for Computer Vision

Автор: Nixon Mark
Название: Feature Extraction and Image Processing for Computer Vision
ISBN: 0128149760 ISBN-13(EAN): 9780128149768
Издательство: Elsevier Science
Цена: 11613.00 р.
Наличие на складе: Есть у поставщикаПоставка под заказ.
Описание:

Feature Extraction for Image Processing and Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the link between theory and exemplar code of the algorithms." Essential background theory is carefully explained.

This text gives students and researchers in image processing and computer vision a complete introduction to classic and state-of-the art methods in feature extraction together with practical guidance on their implementation.

  • The only text to concentrate on feature extraction with working implementation and worked through mathematical derivations and algorithmic methods
  • A thorough overview of available feature extraction methods including essential background theory, shape methods, texture and deep learning
  • Up to date coverage of interest point detection, feature extraction and description and image representation (including frequency domain and colour)
  • Good balance between providing a mathematical background and practical implementation
  • Detailed and explanatory of algorithms in MATLAB and Python


Essentials of Digital Signal Processing

Автор: Lathi
Название: Essentials of Digital Signal Processing
ISBN: 1107059321 ISBN-13(EAN): 9781107059320
Издательство: Cambridge Academ
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Цена: 16474.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This textbook offers a fresh approach to digital signal processing (DSP), combining heuristic reasoning and physical appreciation with sound mathematical methods. It uses metaphors, analogies and creative explanations and exercises. There are 500 figures, over 170 fully worked examples, hundreds of end-of-chapter problems, and over 150 drill exercises with student solutions.

Building feature extraction with machine learning :

Автор: Aithal, Bharath H.,
Название: Building feature extraction with machine learning :
ISBN: 1032255331 ISBN-13(EAN): 9781032255330
Издательство: Taylor&Francis
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Цена: 12554.00 р.
Наличие на складе: Нет в наличии.

Описание: This book focuses on feature extraction methods for optical geospatial data using Machine Learning (ML). It is a practical guide for professionals and graduate students starting a career in information extraction. It explains spatial feature extraction in an easy-to-understand way and includes real case studies.

Feature Extraction and Classification Techniques for Text Recognition

Автор: Munish Kumar, Manish Kumar Jindal, Simpel Rani Jindal, R. K. Sharma, Anupam Garg
Название: Feature Extraction and Classification Techniques for Text Recognition
ISBN: 1799824063 ISBN-13(EAN): 9781799824060
Издательство: Mare Nostrum (Eurospan)
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Цена: 38669.00 р.
Наличие на складе: Нет в наличии.

Описание: Presents innovative research on the fusion and hybridization of various features and classifiers for document analysis and recognition. The book highlights a range of topics, including adaptive boosting, writer identification, and signature verification.

Omnidirectional Vision Systems

Автор: Puig Luis
Название: Omnidirectional Vision Systems
ISBN: 1447149467 ISBN-13(EAN): 9781447149460
Издательство: Springer
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Цена: 5589.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This work focuses on central catadioptric systems, from the early step of calibration to high-level tasks such as 3D information retrieval.

Feature Dimension Reduction for Content-Based Image Identification

Автор: Rik Das, Sourav De, Siddhartha Bhattacharyya
Название: Feature Dimension Reduction for Content-Based Image Identification
ISBN: 152255775X ISBN-13(EAN): 9781522557753
Издательство: Mare Nostrum (Eurospan)
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Цена: 31324.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Image data has portrayed immense potential as a foundation of information for numerous applications. Recent trends in multimedia computing have witnessed a rapid growth in digital image collections, resulting in a need for increased image data management.Feature Dimension Reduction for Content-Based Image Identification is a pivotal reference source that explores the contemporary trends and techniques of content-based image recognition. Including research covering topics such as feature extraction, fusion techniques, and image segmentation, this book explores different theories to facilitate timely identification of image data and managing, archiving, maintaining, and extracting information. This book is ideally designed for engineers, IT specialists, researchers, academicians, and graduate-level students seeking interdisciplinary research on image processing and analysis.

Texture Feature Extraction Techniques for Image Recognition

Автор: Jyotismita Chaki; Nilanjan Dey
Название: Texture Feature Extraction Techniques for Image Recognition
ISBN: 9811508526 ISBN-13(EAN): 9789811508523
Издательство: Springer
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Цена: 7685.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The book describes various texture feature extraction approaches and texture analysis applications. It introduces and discusses the importance of texture features, and describes various types of texture features like statistical, structural, signal-processed and model-based.

Image Color Feature Extraction Techniques: Fundamentals and Applications

Автор: Chaki Jyotismita, Dey Nilanjan
Название: Image Color Feature Extraction Techniques: Fundamentals and Applications
ISBN: 9811557608 ISBN-13(EAN): 9789811557606
Издательство: Springer
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book introduces a range of image color feature extraction techniques. In addition, the book can be used as an introduction to image color feature techniques for those who are new to the research field and software.

Pattern Recognition and Image Analysis

Автор: Joan Mart?; Jos? M. Bened?; Ana M. Mendon?a; Joan
Название: Pattern Recognition and Image Analysis
ISBN: 3540728465 ISBN-13(EAN): 9783540728467
Издательство: Springer
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Цена: 16070.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Part of a two-volume set, this book constitutes the refereed proceedings of the Third Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2007, held in Girona, Spain in June 2007. It covers pattern recognition, human language technology, special architectures and industrial applications, motion analysis, and image analysis.

Computer Vision -- ACCV 2007

Автор: Yasushi Yagi; Sing Bing Kang; In So Kweon; Hongbin
Название: Computer Vision -- ACCV 2007
ISBN: 3540763856 ISBN-13(EAN): 9783540763857
Издательство: Springer
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Цена: 20263.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Contains sections on shape and texture, fitting, calbration, detection, image and video processing, applications, face and gesture, tracking, camera networks, and face/gesture/action detection and recognition. This book also covers learning, motion and tracking, retrival and search, and human pose estimation.

Energy Minimization Methods in Computer Vision and Pattern Recognition

Автор: Alan L. Yuille; Song-Chun Zhu; Daniel Cremers; Yon
Название: Energy Minimization Methods in Computer Vision and Pattern Recognition
ISBN: 354074195X ISBN-13(EAN): 9783540741954
Издательство: Springer
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Цена: 14673.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Constitutes the proceedings of the 6th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2007, held in Ezhou, China in August 2007. This work contains papers organized in topical sections on algorithms, applications, image parsing, image processing, shape and three-dimensional processing.

Computer Analysis of Images and Patterns

Автор: Walter Kropatsch; Martin Kampel; Allan Hanbury
Название: Computer Analysis of Images and Patterns
ISBN: 3540742719 ISBN-13(EAN): 9783540742715
Издательство: Springer
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Цена: 23757.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Constitutes the refereed proceedings of the 12th International Conference on Computer Analysis of Images and Patterns, CAIP 2007, held in Vienna, Austria, in August 2007. This work contains papers that are organized in topical sections on motion detection and tracking, medical imaging, biometrics, colour, image segmentation and shape.

Pattern Recognition and Image Analysis

Автор: Joan Mart?; Jos? Miguel Bened?; Ana Maria Mendon?a
Название: Pattern Recognition and Image Analysis
ISBN: 3540728481 ISBN-13(EAN): 9783540728481
Издательство: Springer
Рейтинг:
Цена: 16070.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Constitutes the refereed proceedings of the Third Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2007, held in Girona, Spain in June 2007. This title presents 48 revised full papers and 108 revised poster papers together with 3 invited talks that were reviewed and selected from 328 submissions.


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