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Beginner`s Guide to Image Shape Feature Extraction Techniques, Chaki, Jyotismita (Vellore Inst. of Technology, Vellore, India) Dey, Nilanjan


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Автор: Chaki, Jyotismita (Vellore Inst. of Technology, Vellore, India) Dey, Nilanjan
Название:  Beginner`s Guide to Image Shape Feature Extraction Techniques
ISBN: 9781032090634
Издательство: Taylor&Francis
Классификация:



ISBN-10: 1032090634
Обложка/Формат: Paperback
Страницы: 148
Вес: 0.23 кг.
Дата издания: 30.06.2021
Серия: Intelligent signal processing and data analysis
Язык: English
Иллюстрации: 91 illustrations, black and white
Размер: 234 x 156
Читательская аудитория: Tertiary education (us: college)
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Поставляется из: Европейский союз
Описание: This book emphasizes various image shape feature extraction methods which are necessary for image shape recognition and classification. Focussing on a shape feature extraction technique used in content-based image retrieval (CBIR), it explains different applications of image shape features in the field of content-based image retrieval.


Computational Techniques for Dental Image Analysis

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: 35402.00 р.
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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.

The Foundry Modo Notes: Essential Modo 3D Graphics Techniques for Advanced Beginners

Автор: Freed Ken
Название: The Foundry Modo Notes: Essential Modo 3D Graphics Techniques for Advanced Beginners
ISBN: 1771431490 ISBN-13(EAN): 9781771431491
Издательство: Неизвестно
Цена: 5449.00 р.
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Описание:

Most modo books and training videos are marketed by giving the beginner quick results on a project, but this tends to impart a "paint by numbers" knowledge of the software. This book represents a distillation of a number of modo books and tutorials, and describes a set of common basic operations which underlie many modo 3D graphics projects.
Keeping in mind that 3D graphics software is NOT as intuitive as Microsoft Word or PowerPoint, just realizing how to carry out basic 3D graphic operations, and what parts of the screen relate to others in the process, is often half the challenge for the modo advanced beginner.
If you're an advanced beginner (i.e., have some experience of the basics covered by most modo books), but find many tutorials time consuming to follow and replicate because the experts tend to take the more advanced basics for granted - the essentials laid out in this book have been written for you.

About the Author:
Ken Freed is a software analyst/developer, and holds undergraduate degrees in Chemistry and Chemical Engineering along with a Masters Degree in Computer Science. With more than 30 years experience developing software for a wide variety of technical, manufacturing and commercial applications, he maintains that "explaining things" in a clear and concise manner and distilling out salient points is as important to project success as technical ability. His hobbies include a pursuit of German and Spanish foreign language competence - along with continually improving upon his digital art skills. More information about Ken can be found at his websites: www.kenfreedsoftware.com and at www.kenfreed1.com.

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

Unsupervised Feature Extraction Applied to Bioinformatics: A Pca Based and TD Based Approach

Автор: Taguchi Y-H
Название: Unsupervised Feature Extraction Applied to Bioinformatics: A Pca Based and TD Based Approach
ISBN: 3030224589 ISBN-13(EAN): 9783030224585
Издательство: Springer
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Цена: 22359.00 р.
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Описание: This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tenor decomposition.

Medical Image Processing

Автор: Geoff Dougherty
Название: Medical Image Processing
ISBN: 1461430224 ISBN-13(EAN): 9781461430223
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This book examines the conceptual framework of image analysis and the effective use of image processing tools, using applications in many fields to demonstrate and consolidate specific and general concepts, and to build intuition, insight and understanding.

Principles of Digital Image Processing

Автор: Wilhelm Burger; Mark James Burge
Название: Principles of Digital Image Processing
ISBN: 1848001908 ISBN-13(EAN): 9781848001909
Издательство: Springer
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Цена: 5309.00 р.
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Описание: This easy-to-follow textbook provides a modern, algorithmic introduction to digital image processing. It concentrates on practical applications and working implementations whilst also presenting important formal details and the necessary mathematics.

Interactive Segmentation Techniques

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: 9141.00 р.
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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.

Automatic Extraction of Man-Made Objects from Aerial and Space Images (II)

Автор: Armin Gruen; E.P. Baltsavias; O. Henricsson
Название: Automatic Extraction of Man-Made Objects from Aerial and Space Images (II)
ISBN: 3034898223 ISBN-13(EAN): 9783034898225
Издательство: Springer
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Цена: 18860.00 р.
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Описание: Advancements in digital sensor technology, digital image analysis techniques, as well as computer software and hardware have brought together the fields of computer vision and photogrammetry, which are now converging towards sharing, to a great extent, objectives and algorithms.

Patch-Based Techniques in Medical Imaging

Автор: Wu
Название: Patch-Based Techniques in Medical Imaging
ISBN: 3319471171 ISBN-13(EAN): 9783319471174
Издательство: Springer
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Цена: 5870.00 р.
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Описание: The main aim of the Patch-MI 2016 workshop is to promote methodological advances within the medical imaging field, with various applications in image segmentation, image denoising, image super-resolution, computer-aided diagnosis, image registration, abnormality detection, and image synthesis.

3D-TV System with Depth-Image-Based Rendering

Автор: Ce Zhu; Yin Zhao; Lu Yu; Masayuki Tanimoto
Название: 3D-TV System with Depth-Image-Based Rendering
ISBN: 1489990968 ISBN-13(EAN): 9781489990969
Издательство: Springer
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Цена: 20896.00 р.
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Описание: Focusing on the next-generation DIBR-based 3D-TV system, this book on key technologies such as multiview video plus depth (MVD) and layered depth video (LDV) formatting examines content generation, coding and transmission, visualization and quality evaluation.

Unsupervised Feature Extraction Applied to Bioinformatics

Автор: Y-h. Taguchi
Название: Unsupervised Feature Extraction Applied to Bioinformatics
ISBN: 3030224554 ISBN-13(EAN): 9783030224554
Издательство: Springer
Рейтинг:
Цена: 22359.00 р.
Наличие на складе: Поставка под заказ.

Описание: This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case because unsupervised methods are easy to learn since tensor decomposition is a conventional linear methodology. This book starts from very basic linear algebra and reaches the cutting edge methodologies applied to difficult situations when there are many features (variables) while only small number of samples are available. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tenor decomposition. The author concludes by showing unsupervised methods and their application to a wide range of topics.

Allows readers to analyze data sets with small samples and many features;Provides a fast algorithm, based upon linear algebra, to analyze big data;Includes several applications to multi-view data analyses, with a focus on bioinformatics.
Signal Processing Techniques for Knowledge Extraction and Information Fusion

Автор: Danilo Mandic; Martin Golz; Anthony Kuh; Dragan Ob
Название: Signal Processing Techniques for Knowledge Extraction and Information Fusion
ISBN: 1441944958 ISBN-13(EAN): 9781441944955
Издательство: Springer
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Цена: 20896.00 р.
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Описание: This book brings together the latest research achievements from signal processing and related disciplines, consolidating existing and proposed directions in DSP-based knowledge extraction and information fusion.


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