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Computer Vision with OpenCV 3 and Qt5

You're reading from   Computer Vision with OpenCV 3 and Qt5 Build visually appealing, multithreaded, cross-platform computer vision applications

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788472395
Length 486 pages
Edition 1st Edition
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Author (1):
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Amin Ahmadi Tazehkandi Amin Ahmadi Tazehkandi
Author Profile Icon Amin Ahmadi Tazehkandi
Amin Ahmadi Tazehkandi
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Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction to OpenCV and Qt FREE CHAPTER 2. Creating Our First Qt and OpenCV Project 3. Creating a Comprehensive Qt+OpenCV Project 4. Mat and QImage 5. The Graphics View Framework 6. Image Processing in OpenCV 7. Features and Descriptors 8. Multithreading 9. Video Analysis 10. Debugging and Testing 11. Linking and Deployment 12. Qt Quick Applications 13. Other Books You May Enjoy

Image transformation capabilities


In this section, you will learn about the transformation capabilities available in OpenCV. In general, there are two image transformation categories in OpenCV, called geometric and miscellaneous (which simply means everything else) transformations if you take a look at the OpenCV documentation. The reason for this is explained here.

Geometric transformations, as it can be guessed from their name, deal mostly with geometric properties of images, such as their size, orientation, shape, and so on. Note that a geometric transformation does not change the contents of the image, but it merely changes the form and shape of it by moving around the pixels of an depending on the geometric transformation type. Same as what we saw with filtering images in the beginning of the previous section, geometric transformation functions also need to deal with the extrapolation of pixels outside of an image, or, simply put, making an assumption about the non-existing pixels...

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