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Product Description
Product Description
Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in mathematics. This bestselling book has been fully updated with the newest of these, including 2D vision methods in content–based searches and the use of graphics cards as image processing computational aids. It’s an ideal reference for software engineers and developers, advanced programmers, graphics programmers, scientists, and other specialists who require highly specialized image processing.
- Algorithms now exist for a wide variety of sophisticated image processing applications required by software engineers and developers, advanced programmers, graphics programmers, scientists, and related specialists
- This bestselling book has been completely updated to include the latest algorithms, including 2D vision methods in content–based searches, details on modern classifier methods, and graphics cards used as image processing computational aids
- Saves hours of mathematical calculating by using distributed processing and GPU programming, and gives non–mathematicians the shortcuts needed to program relatively sophisticated applications.
Algorithms for Image Processing and Computer Vision, 2nd Edition provides the tools to speed development of image processing applications.
From the Back Cover
With this accessible cookbook of algorithms, you′ll gain access to the most wanted image–processing applications, including morphology, image restoration, and symbol recognition. Throughout these pages, you′ll find real–life examples that clearly describe the latest techniques, saving you hours of lengthy mathematical calculations. And all code is also included on the website, so you can experiment with your own ideas and algorithms for organizing and searching image data sets.
This updated edition provides practical solutions so you can:
Program state–of–the–art image–processing capabilities into software
Find the steps for taking advantage of classifiers
Apply 2D vision methods in content–based searches
Perform edge detection, thinning, thresholding, and morphology
Link all the computers on your network into a large image–processing cluster
Program the GPU to do image–processing and vision tasks
Select the best method for searching through images
Visit the companion website at www.wiley.com/go/jrparker to access all code used in this book.
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The only somewhat negative is that examples are for openCV 1.1.
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