Feature Extraction and Classification Techniques for Text Recognition, Munish Kumar, Manish Kumar Jindal, Simpel Rani Jindal, R. K. Sharma, Anupam Garg
Автор: Ali Ismail Awad; Mahmoud Hassaballah Название: Image Feature Detectors and Descriptors ISBN: 3319288520 ISBN-13(EAN): 9783319288529 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This bookprovides readers with a selection of high-quality chapters that cover boththeoretical concepts and practical applications of image feature detectors anddescriptors. It serves as reference for researchers and practitioners byfeaturing survey chapters and research contributions on image feature detectorsand descriptors.
Автор: Nixon Mark Название: Feature Extraction and Image Processing for Computer Vision ISBN: 0128149760 ISBN-13(EAN): 9780128149768 Издательство: Elsevier Science Рейтинг: Цена: 11613.00 р. Наличие на складе: Есть у поставщика Поставка 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
Описание: This book constitutes the thoroughly refereed workshop proceedings of the Second International Workshop on Medical Computer Vision, MCV 2012, held in Nice, France, October 2012 in conjunction with the 15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012.
Автор: Isabelle Guyon; Steve Gunn; Masoud Nikravesh; Loft Название: Feature Extraction ISBN: 366251771X ISBN-13(EAN): 9783662517710 Издательство: Springer Рейтинг: Цена: 41787.00 р. 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: Volna Eva, Kotyrba Martin, Janosek Michal Название: Pattern Recognition and Classification in Time Series Data ISBN: 1522505652 ISBN-13(EAN): 9781522505655 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 27027.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Patterns can be any number of items that occur repeatedly, whether in the behaviour of animals, humans, traffic, or even in the appearance of a design. As technologies continue to advance, recognizing, mimicking, and responding to all types of patterns becomes more precise. Pattern Recognition and Classification in Time Series Data focuses on intelligent methods and techniques for recognizing and storing dynamic patterns. Emphasizing topics related to artificial intelligence, pattern management, and algorithm development, in addition to practical examples and applications, this publication is an essential reference source for graduate students, researchers, and professionals in a variety of computer-related disciplines.
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