Computer Manual in MATLAB to Accompany Pattern Classification, Second Edition
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Computer Manual in MATLAB to Accompany Pattern Classification, Second Edition
Computer Manual in MATLAB to Accompany Pattern Classification, Second Edition
Computer Manual in MATLAB to Accompany Pattern Classification, Second Edition Details:
• •
David G. Stork Elad Yom-Tov
Computer Manual to Accompany Pattern Classification and its associated MATLAB software is an excellent companion to Duda: Pattern Classfication, 2nd ed, (DH&S). The code contains all algorithms described in Duda as well as supporting algorithms for data generation and visualization. The Manual uses the same terminology as the DH&S text and contains step-by-step worked examples, including many of the examples and figures in the textbook.
The Manual is accompanied by software that is available electronically. The software contains all algorithms in DH&S, indexed to the textbook, and uses symbols and notation as close as possible to the textbook. The code is self-annotating so the user can easily navigate, understand and modify the code.
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Computer Manual in MATLAB to Accompany Pattern Classification, Second Edition (Paperback) by David G. Stork, Elad Yom-Tov
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Pattern Classification (2nd Edition) by Richard O. Duda
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Editorial Reviews http://www.amazon.com/exec/obidos/ASIN/0471429775/ref%3Dnosim/booksarecool-20/104-5474971-7715963 (1 de 5)12-10-2005 18:49:13
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Book Description Computer Manual to Accompany Pattern Classification and its associated MATLAB software is an excellent companion to Duda: Pattern Classfication, 2nd ed, (DH&S). The code contains all algorithms described in Duda as well as supporting algorithms for data generation and visualization. The Manual uses the same terminology as the DH&S text and contains step-by-step worked examples, including many of the examples and figures in the textbook. The Manual is accompanied by software that is available electronically. The software contains all algorithms in DH&S, indexed to the textbook, and uses symbols and notation as close as possible to the textbook. The code is self-annotating so the user can easily navigate, understand and modify the code. Book Info Manual designed to accompany the text, Pattern Classification, 2nd ed., c2000. Contains all algorithms in the text, and to the extent possible uses its terminology and notation. Professional resource for researchers in pattern classification and signal processing. Softcover. See all Editorial Reviews
Product Details ●
Paperback: 136 pages
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Publisher: Wiley-Interscience; 2 edition (April 2, 2004)
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Language: English
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ISBN: 0471429775
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Product Dimensions: 11.0 x 8.4 x 0.4 inches
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Shipping Weight: 14.1 ounces. (View shipping rates and policies)
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Average Customer Review:
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Customer Reviews Average Customer Review: Write an online review and share your thoughts with other customers. 1 of 10 people found the following review helpful: Valuable supplement to text, July 16, 2004 Reviewer: A reader This package includes the manual itself and access to the pattern classification toolbox (available via the web). The manual provides a brief introduction to MATLAB and the toolbox, and an appendix (nearly half the length) containing descriptions of the toolbox programs organized by chapter in the Pattern Classification text. It's all very well done, and therefore extremely helpful in learning and applying ideas and algorithms. For people with a programming background but little experience with MATLAB, working with this package (especially the toolbox source code) is enough to get you up and running. Highly recommended. Was this review helpful to you?
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2 of 4 people found the following review helpful: Excellent toolbox to learn & use., July 9, 2004 Reviewer: A reader I was one of the early access recipient of this toolbox and found it extremely useful. It basically has a whole bunch of cleaning and classification algos. The toolbox also allows one to extend its use with new algorithms, tweaks or to use our dataset. As long as its formatted in the same fashion. I would strongly recommend this toolbox, if you are looking for additional material, another book worth having is Christopher Bishop's book. Was this review helpful to you?
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Digital Image Processing Using MATLAB (Hardcover) by Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins
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Editorial Reviews Book Description This is the first book that provides a balanced treatment of image processing basics and software principles used in the practical application of image processing. Working in the MATLAB computing environment, it provides a stable, well-supported set of software tools capable of addressing a broad spectrum of applications in digital image processing. The major areas covered include intensity transformations, linear and nonlinear spatial filtering, filtering in the frequency domain, image restoration and registration, color image processing, wavelets, image data compression, morpohological image processing, image segmentation, regions and boundary representation and description, and object recognition. For software developers working with image processing. From the Back Cover Digital Image Processing Using MATLAB is the first book that provides a balanced treatment of image processing fundamentals and the software principles used in their practical implementation. The book integrates material from the leading text, Digital Image Processing by Gonzalez and Woods, and the Image Processing Toolbox of the MathWorks. Inc., a recognized leader in scientific computing. The Image Processing Toolbox provides a stable, well-supported set of software tools for addressing a broad range of applications in digital image processing. A unique feature of this hook is its emphasis on showing how to enhance those tools by the development of new code. This is important in image processing, where there is a need for extensive experimental work in order to arrive at acceptable problem solutions. After an introduction to the fundamentals of MATLAB programming, the book addresses the mainstream areas of image processing. Areas covered include intensity transformations, linear and nonlinear spatial filtering, filtering in the frequency domain, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, regions and boundary representation and description, and object recognition. Some Highlights ● ●
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The book is self-contained. Over 60 new image processing functions are developed—a 35% increase over the comprehensive set of functions in the Image Processing Toolbox. A fully documented listing of every new function developed is included in the book. Using C code with MATLAB is covered in detail. There are 114 examples, over 400 images, and over 150 graphs and line drawings that enhance the discussion of the material. All MATLAB, Image Processing Toolbox, and new functions used in the book, are conveniently summarized in an appendix. The design of graphical user interfaces (GUIs) is covered in detail. A book web site provides complimentary support.
See all Editorial Reviews
Product Details ●
Hardcover: 782 pages
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Publisher: Prentice Hall; 1st edition (September 5, 2003)
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Language: English
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ISBN: 0130085197
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Product Dimensions: 9.5 x 7.1 x 1.1 inches
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Shipping Weight: 2.3 pounds. (View shipping rates and policies)
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Customer Reviews Average Customer Review: Write an online review and share your thoughts with other customers. 11 of 12 people found the following review helpful: The best of its kind., January 2, 2005 Reviewer: Christian Laforte "3D Graphics Consultant" (Montreal, Canada) - See all my reviews If you want to get up to speed on Matlab and plan to use it for image processing, this book is a must. I have lots of experience in computer graphics and in programming languages like C++ and C#, but prior to reading this book I had never really used Matlab nor implemented complicated image processing algorithms. This book is a great introduction to both. The book is divided in twelve chapters touching both low-level image processing (e.g. spatial filtering) and higher-level concepts required for computer vision, like image registration and segmentation. Gonzalez et al are talented writers, explaining relatively complicated concepts clearly and concisely, without getting lost in the mathematical details. People interested in the more theoretical aspects should (and probably already have) check their other book. The only potential downside of this book is that it's definitely designed to be read sequentially, one chapter at a time. The matlab concepts are introduced piece by piece. For example, if you skip Chapter 5 (on image restoration, i.e. getting rid of noise) you may not realize that you missed the introduction to the image registration functions. Personally I liked this style (it added variety to a potentially dry subject), but a reader with less time to cover all of the matter may find this to be a problem. Was this review helpful to you?
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9 of 10 people found the following review helpful: Digital image processing using MATLAB, September 2, 2004 Reviewer: Yoo Hyeon Joong (Korea) - See all my reviews I gave a DIP class last semester using this book. I found it provided the easiest way to make students acquainted with DIP. Before using this book, I tried Visual C++ for implementation. However, both of us (i.e., students and me) couldn't be satisfied, I guess. Now the implementation is easier than ever, and I can explain more about DIP itself to students. Was this review helpful to you?
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