Texture Feature Extraction Techniques For Image Recognition

Texture Feature Extraction Techniques for Image Recognition PDF
Author: Jyotismita Chaki
Publisher: Springer Nature
ISBN: 9811508534
Size: 36.16 MB
Format: PDF, ePub, Mobi
Category : Technology & Engineering
Languages : en
Pages : 100
View: 4649

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Book Description: 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. It also covers applications related to texture features, such as facial imaging. It is a valuable resource for machine vision researchers and practitioners in different application areas.

Feature Extraction Image Processing

Feature Extraction   Image Processing PDF
Author: Mark Nixon
Publisher: Elsevier
ISBN: 9780080556727
Size: 59.24 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 424
View: 2575

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Book Description: Whilst other books cover a broad range of topics, Feature Extraction and Image Processing takes one of the prime targets of applied computer vision, feature extraction, and uses it to provide an essential guide to the implementation of image processing and computer vision techniques. Acting as both a source of reference and a student text, the book explains techniques and fundamentals in a clear and concise manner and helps readers to develop working techniques, with usable code provided throughout. The new edition is updated throughout in line with developments in the field, and is revised to focus on mathematical programming in Matlab. Essential reading for engineers and students working in this cutting edge field Ideal module text and background reference for courses in image processing and computer vision

Image Color Feature Extraction Techniques

Image Color Feature Extraction Techniques PDF
Author: Jyotismita Chaki
Publisher: Springer Nature
ISBN: 9811557616
Size: 17.98 MB
Format: PDF, Mobi
Category : Technology & Engineering
Languages : en
Pages : 83
View: 5444

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Book Description: This book introduces a range of image color feature extraction techniques. Readers are encouraged to try implementing the techniques discussed here on their own, all of which are presented in a very simple and step-by-step manner. 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. The techniques are very easy to understand as most of them are described with pictorial examples. Not only the techniques themselves, but also their applications are covered. Accordingly, the book offers a valuable guide to these tools, which are a vital component of content-based image retrieval (CBIR).

Feature Extraction And Image Processing For Computer Vision

Feature Extraction and Image Processing for Computer Vision PDF
Author: Mark Nixon
Publisher: Academic Press
ISBN: 0128149779
Size: 60.62 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 650
View: 2390

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Book Description: 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

Feature Extraction And Image Processing

Feature Extraction and Image Processing PDF
Author: Mark Nixon
Publisher: Elsevier
ISBN: 0080506259
Size: 36.40 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 350
View: 3843

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Book Description: Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals. Ideal module text for courses in artificial intelligence, image processing and computer vision Essential reading for engineers and academics working in this cutting-edge field Supported by free software on a companion website

Maschinelles Lernen

Maschinelles Lernen PDF
Author: Ethem Alpaydin
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110617897
Size: 40.32 MB
Format: PDF, Mobi
Category : Computers
Languages : de
Pages : 655
View: 1498

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Book Description: Das maschinelle Lernen ist zwangsläufi g eines der am schnellsten wachsenden Gebiete der Computerwissenschaft. Nicht nur die zu verarbeitenden Datenmengen werden immer umfangreicher, sondern auch die Theorie, wie man sie verarbeiten und in Wissen verwandeln kann. Maschinelles Lernen ist ein verständlich geschriebenes Lehrbuch, welches ein breites Spektrum an Themen aus verschiedenen Bereichen abdeckt, wie zum Beispiel Statistik, Mustererkennung, neuronale Netze, künstliche Intelligenz, Signalverarbeitung, Steuerung und Data Mining. Darüber hinaus beinhaltet das Buch auch Themen, die von einführenden Werken häufi g nicht behandelt werden. Unter anderem: Überwachtes Lernen; Bayessche Entscheidungstheorie; parametrische und nichtparametrische Statistik; multivariate Analysis; Hidden-Markow-Modelle; bestärkendes Lernen; Kernel-Maschinen; graphische Modelle; Bayes-Schätzung und statistischen Testmethoden. Da maschinelles Lernen eine immer größere Rolle für Studierende der Informatik spielt, geht die zweite Aufl age des Buches auf diese Veränderung ein und unterstützt gezielt Anfänger in diesem Gebiet, unter anderem durch Übungsaufgaben und zusätzlichen Beispieldatensätzen. Prof. Dr. Ethem Alpaydin, Bogaziçi University, Istanbul.

Recent Trends In Image Processing And Pattern Recognition

Recent Trends in Image Processing and Pattern Recognition PDF
Author: K. C. Santosh
Publisher: Springer
ISBN: 9811391815
Size: 41.26 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 717
View: 4523

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Book Description: This three-book set constitutes the refereed proceedings of the Second International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2018, held in Solapur, India, in December 2018. The 173 revised full papers presented were carefully reviewed and selected from 374 submissions. The papers are organized in topical sections in the tree volumes. Part I: computer vision and pattern recognition; machine learning and applications; and image processing. Part II: healthcare and medical imaging; biometrics and applications. Part III: document image analysis; image analysis in agriculture; and data mining, information retrieval and applications.

Journal Of The Institution Of Engineers India

Journal of the Institution of Engineers  India   PDF
Author:
Publisher:
ISBN:
Size: 29.40 MB
Format: PDF, Kindle
Category :
Languages : en
Pages :
View: 896

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Book Description:

Image Feature Detectors And Descriptors

Image Feature Detectors and Descriptors PDF
Author: Ali Ismail Awad
Publisher: Springer
ISBN: 3319288547
Size: 72.23 MB
Format: PDF
Category : Computers
Languages : en
Pages : 438
View: 5439

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Book Description: This book provides readers with a selection of high-quality chapters that cover both theoretical concepts and practical applications of image feature detectors and descriptors. It serves as reference for researchers and practitioners by featuring survey chapters and research contributions on image feature detectors and descriptors. Additionally, it emphasizes several keywords in both theoretical and practical aspects of image feature extraction. The keywords include acceleration of feature detection and extraction, hardware implantations, image segmentation, evolutionary algorithm, ordinal measures, as well as visual speech recognition.

Handbook Of Research On Emerging Perspectives In Intelligent Pattern Recognition Analysis And Image Processing

Handbook of Research on Emerging Perspectives in Intelligent Pattern Recognition  Analysis  and Image Processing PDF
Author: Kamila, Narendra Kumar
Publisher: IGI Global
ISBN: 1466686553
Size: 51.66 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 477
View: 5757

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