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Image Processing with MATLAB: Applications in Medicine and Biology (MATLAB Examples) - Hardcover

Demirkaya, Omer; Asyali, Musa Hakan; Sahoo, Prasanna K.; Shoukri, Mohamed M.

 
9780849392467: Image Processing with MATLAB: Applications in Medicine and Biology (MATLAB Examples)
Hardcover
ISBN 10: 0849392462 ISBN 13: 9780849392467
Verlag: CRC Press, 2008

Inhaltsangabe

Image Processing with MATLAB®: Applications in Medicine and Biology explains complex, theory-laden topics in image processing through examples and MATLAB® algorithms. It describes classical as well emerging areas in image processing and analysis.

Providing many unique MATLAB codes and functions throughout, the book covers the theory of probability and statistics, two-dimensional fast Fourier transform, nonlinear diffusion filtering, and partial differential equation (PDE)-based image denoising techniques. It presents intensity-based image segmentation methods, including thresholding techniques as well as K-means and fuzzy C-means clustering techniques. The authors also explore Markov random field (MRF)-based image segmentation, boundary and curvature analysis methods, and parametric and geometric deformable models. The final chapters focus on three specific applications of image processing and analysis.

Reducing the need for the trial-and-error way of solving problems, this book helps readers understand advanced concepts by applying algorithms to real-world problems in medicine and biology.

A solutions manual is available for instructoes wishing to convert this reference to classroom use.

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Über die Autorin bzw. den Autor

Omer Demirkaya, Musa H. Asyali, Prasanna K. Sahoo

Von der hinteren Coverseite

This text explains complex, theory-laden topics in image processing through examples and MATLAB® algorithms. It provides these algorithms to help scientists and researchers quickly identify the most effective solution method for a particular problem at hand. The authors emphasize three-dimensional processing and analysis as well as statistical and stochastic modeling. They cover the new areas of nonlinear diffusion filtering and PDE-based image filtering, address relatively advanced topics, such as Markov random field-based image segmentation, and highlight applications with images from medicine and biology. They also include real-world examples and exercises in every chapter.

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Verlag
CRC Press
Erscheinungsdatum
2008
Sprache
Englisch
ISBN 10 
0849392462
ISBN 13 
9780849392467
Einband
Gebundene Ausgabe
Anzahl der Seiten
441
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

Lengericher Landstr. 19
Osnabrück
Niedersachsen
49078
Deutschland