Feature Extraction and Image Processing for Computer Vision
  • Author : Mark Nixon
  • Release Date : 17 November 2019
  • Publisher : Academic Press
  • Genre : Computers
  • Pages : 650
  • ISBN 13 : 9780128149775

Feature Extraction and Image Processing for Computer Vision Book Summary

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 for Computer Vision

Feature Extraction and Image Processing for Computer Vision

Author : Mark Nixon,Alberto Aguado
Publisher : Academic Press
Genre : Computers
Total View : 7726 Views
File Size : 47,7 Mb
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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 ...

Feature Extraction and Image Processing for Computer Vision

Feature Extraction and Image Processing for Computer Vision

Author : Mark Nixon
Publisher : Academic Press
Genre : Computers
Total View : 4375 Views
File Size : 50,8 Mb
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Feature Extraction and Image Processing for Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "...

Feature Extraction and Image Processing for Computer Vision

Feature Extraction and Image Processing for Computer Vision

Author : Mark Nixon,Alberto S. Aguado
Publisher : Academic Press
Genre : Computers
Total View : 1172 Views
File Size : 44,9 Mb
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Feature Extraction and Image Processing for Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "...

Feature Extraction and Image Processing

Feature Extraction and Image Processing

Author : Mark Nixon
Publisher : Elsevier
Genre : Computers
Total View : 6869 Views
File Size : 40,9 Mb
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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 ...

Handbook of Image Processing and Computer Vision

Handbook of Image Processing and Computer Vision

Author : Arcangelo Distante,Cosimo Distante
Publisher : Springer Nature
Genre : Computers
Total View : 5332 Views
File Size : 40,9 Mb
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Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented within cover all ...

Computer Vision and Image Processing

Computer Vision and Image Processing

Author : Manas Kamal Bhuyan
Publisher : CRC Press
Genre : Computers
Total View : 1600 Views
File Size : 41,7 Mb
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The book familiarizes readers with fundamental concepts and issues related to computer vision and major approaches that address them. The focus of the book is on image acquisition and image formation models, radiometric models of image formation, image formation in the camera, image processing concepts, concept of feature extraction and ...

Texture Feature Extraction Techniques for Image Recognition

Texture Feature Extraction Techniques for Image Recognition

Author : Jyotismita Chaki,Nilanjan Dey
Publisher : Springer Nature
Genre : Technology & Engineering
Total View : 2486 Views
File Size : 48,5 Mb
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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 ...

A Beginner   s Guide to Image Shape Feature Extraction Techniques

A Beginner s Guide to Image Shape Feature Extraction Techniques

Author : Jyotismita Chaki,Nilanjan Dey
Publisher : CRC Press
Genre : Computers
Total View : 3555 Views
File Size : 44,9 Mb
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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. Showcasing useful applications and ...