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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

Image Processing in OpenCV

It always starts with an unprocessed and raw image, taken with a smartphone, webcam, DSLR camera, or, in short, any device that is capable of shooting and recording image data. However, it usually ends with sharp or blurred; bright, dark, or balanced; black and white or colored; and many other different representations of the same image data. This is probably the initial step (and one of the most important steps) in computer vision algorithms, and it's usually referred to as Image Processing (for now, let's forget about the fact that, sometimes, computer vision and Image Processing are used interchangeably; this is a discussion for history experts). Of course, you can have image processing in between or in the final phases of any computer vision process, but, in general, any photo or video recorded with most of the existing devices undergoes...

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