9780982085417-0982085419-Digital Image Processing Using MATLAB 3rd edition

Digital Image Processing Using MATLAB 3rd edition

ISBN-13: 9780982085417
ISBN-10: 0982085419
Author: R. C. Gonzalez, R. E. Woods, R. E. Woods
Publication date: 2020
Publisher: Gatesmark
Format: Hardcover
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Book details

ISBN-13: 9780982085417
ISBN-10: 0982085419
Author: R. C. Gonzalez, R. E. Woods, R. E. Woods
Publication date: 2020
Publisher: Gatesmark
Format: Hardcover

Summary

Acknowledged authors R. C. Gonzalez, R. E. Woods, R. E. Woods wrote Digital Image Processing Using MATLAB 3rd edition comprising pages back in 2020. Textbook and eTextbook are published under ISBN 0982085419 and 9780982085417. Since then Digital Image Processing Using MATLAB 3rd edition textbook was available to sell back to BooksRun online for the top buyback price of $ 4.04 or rent at the marketplace.

Description

This new, 3rd edition of Digital Image Processing Using MATLAB features extensive revisions of the topics from the 2nd ed. In addition, this edition includes comprehensive new MATLAB implementation of image transforms, spectral color models, geometric transformations, clustering, superpixels, graph cuts, active contours (snakes and level sets), maximally-stable extremal regions, SIFT, SURF, and other keypoint features. An entire chapter is devoted to deep learning, neural networks, and convolutional neural networks. Also new to this edition are 130 MATLAB Projects related to the material covered in the text. These projects enhance the usefulness of the book for self study and in formal classroom settings. New also is the DIPUM3E Support Package that contains selected project solutions, the source code for all functions developed in the book, and most of the digital images used in the book. As before, the book integrates material from the 4th edition of Digital Image Processing by Gonzalez and Woods, the leading textbook in the field, and the Image Processing Toolbox from MathWorks, a leader in Scientific Computing. A unique feature of the book is its emphasis on showing how to enhance existing software solutions by developing new code. This is important in image processing, a field that generally requires extensive experimental work in order to arrive at suitable application solutions. More details are included in the book website.

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