Beginner`s Guide to Image Shape Feature Extraction Techniques, Chaki, Jyotismita (Vellore Inst. of Technology, Vellore, India) Dey, Nilanjan
Автор: Jyotismita Chaki, Nilanjan Dey Название: A Beginner`s Guide to Image Shape Feature Extraction Techniques ISBN: 0367254395 ISBN-13(EAN): 9780367254391 Издательство: Taylor&Francis Рейтинг: Цена: 93910.00 T Наличие на складе: Невозможна поставка. 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.
Автор: Jyotismita Chaki; Nilanjan Dey Название: Texture Feature Extraction Techniques for Image Recognition ISBN: 9811508526 ISBN-13(EAN): 9789811508523 Издательство: Springer Рейтинг: Цена: 51230.00 T 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.
Автор: Das, Rik Название: Content-Based Image Classification ISBN: 036737160X ISBN-13(EAN): 9780367371609 Издательство: Taylor&Francis Рейтинг: Цена: 102080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is a comprehensive guide to initiate and excel in researching with invaluable image data. This book has demonstrated several techniques of image processing to represent image data in desired format for information identification.
Автор: Chaki Jyotismita, Dey Nilanjan Название: Image Color Feature Extraction Techniques: Fundamentals and Applications ISBN: 9811557608 ISBN-13(EAN): 9789811557606 Издательство: Springer Цена: 46570.00 T 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.
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) Рейтинг: Цена: 236010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Y-h. Taguchi Название: Unsupervised Feature Extraction Applied to Bioinformatics ISBN: 3030224554 ISBN-13(EAN): 9783030224554 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Нет в наличии. 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.
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 Рейтинг: Цена: 139310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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.
Автор: Isabelle Guyon; Steve Gunn; Masoud Nikravesh; Loft Название: Feature Extraction ISBN: 366251771X ISBN-13(EAN): 9783662517710 Издательство: Springer Рейтинг: Цена: 278580.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is both a reference for engineers and scientists and a teaching resource, featuring tutorial chapters and research papers on feature extraction. Until now there has been insufficient consideration of feature selection algorithms, no unified presentation of leading methods, and no systematic comparisons.
Автор: Puig Luis Название: Omnidirectional Vision Systems ISBN: 1447149467 ISBN-13(EAN): 9781447149460 Издательство: Springer Рейтинг: Цена: 37260.00 T 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.
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 Рейтинг: Цена: 149060.00 T Наличие на складе: Нет в наличии. 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.
Автор: Geoff Dougherty Название: Medical Image Processing ISBN: 1461430224 ISBN-13(EAN): 9781461430223 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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