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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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Table of Contents (14) Chapters Close

Preface 1. Introduction to OpenCV and Qt 2. Creating Our First Qt and OpenCV Project FREE CHAPTER 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

All about the Mat class

In the previous chapters, you experienced using the Mat class of the OpenCV framework very briefly, but we're going to dig a little bit deeper now. The Mat class, which borrows its name from the matrix, is an n-dimensional array capable of storing and handling different mathematical data types in single or multiple channels. To simplify this further, let's take a look at what an image is in terms of computer vision. An image in computer vision is a matrix (therefore a two-dimensional array) of pixels, with a specified width (number of columns in the matrix) and height (number of rows in the matrix). Furthermore, a pixel in a grayscale image can be represented with a single number (therefore a single channel), with a minimum value (usually 0) representing the black and a maximum value (usually 255, which is the highest number possible with one...

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