Feature extraction and image processing / Mark S. Nixon, Alberto S. Aguado.

By:

Nixon, Mark S

Contributor(s):

Aguado, Alberto S

Material type: Text

TextPublication details: Amsterdam ; London : Elsevier/Academic Press, 2008.Edition: 2nd edDescription: xv, 406 p. : ill. ; 25 cmISBN:

0123725380
9780123725387

Other title:

Feature extraction & image processing [Cover title]

Subject(s):

DDC classification:

006.37 22

Contents:

1 Introduction -- 2 Images, Sampling and Frequency Domain Processing -- 3 Basic Image Processing Operations -- 4 Low-Level Feature Extraction and Edge Detection -- 5 Feature Extraction by Shape Matching -- 6 Flexible Shape Extraction (Snakes and Other Techniques) -- 7 Object Description -- 8 Introduction to Texture Description, Segmentation and Classification.

Summary: 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. Companion website includes worksheets, links to free software, Matlab files and new demonstrations. Image processing and computer vision are currently hot topics with undergraduates and professionals alike. Feature Extraction and Image Processing provides an essential guide to the implementation of image processing and computer vision techniques, explaining techniques and fundamentals in a clear and concise manner. Readers can develop working techniques, with usable code provided throughout and working Matlab and Mathcad files on the web. 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.

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Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Books	Main library General Stacks	006.37 / NI.F 2008 (Browse shelf(Opens below))	1	Available		002764

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Previous	006.332 / KE.I 2007 An introduction to knowledge engineering /	006.35 / SI. N Natural language processing and information retrieval /	006.35 / WA.C 2001 Computing with words /	006.37 / NI.F 2008 Feature extraction and image processing /	006.37 / NI.F 2012 Feature extraction & image processing for computer vision /	006.37 / SZ. C 2011 Computer vision :	006.4 / AN. A 2010 Artificial neural networks in pattern recognition :	Next

Previous ed.: Oxford: Newnes, 2002.

Includes bibliographical references and index.

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. Companion website includes worksheets, links to free software, Matlab files and new demonstrations. Image processing and computer vision are currently hot topics with undergraduates and professionals alike. Feature Extraction and Image Processing provides an essential guide to the implementation of image processing and computer vision techniques, explaining techniques and fundamentals in a clear and concise manner. Readers can develop working techniques, with usable code provided throughout and working Matlab and Mathcad files on the web. 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.

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