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Mastering OpenCV 4 with Python

You're reading from  Mastering OpenCV 4 with Python

Product type Book
Published in Mar 2019
Publisher Packt
ISBN-13 9781789344912
Pages 532 pages
Edition 1st Edition
Languages
Author (1):
Alberto Fernández Villán Alberto Fernández Villán
Profile icon Alberto Fernández Villán

Table of Contents (20) Chapters

Preface 1. Section 1: Introduction to OpenCV 4 and Python
2. Setting Up OpenCV 3. Image Basics in OpenCV 4. Handling Files and Images 5. Constructing Basic Shapes in OpenCV 6. Section 2: Image Processing in OpenCV
7. Image Processing Techniques 8. Constructing and Building Histograms 9. Thresholding Techniques 10. Contour Detection, Filtering, and Drawing 11. Augmented Reality 12. Section 3: Machine Learning and Deep Learning in OpenCV
13. Machine Learning with OpenCV 14. Face Detection, Tracking, and Recognition 15. Introduction to Deep Learning 16. Section 4: Mobile and Web Computer Vision
17. Mobile and Web Computer Vision with Python and OpenCV 18. Assessments 19. Other Books You May Enjoy

BGR order in OpenCV

We already mentioned that OpenCV uses the BGR color format instead of the RGB one. This can be seen in the following diagram, where you can see the order of the three channels:

The pixel structure of a BGR image can be seen in the following diagram. In particular, we have detailed how to access pixel (y=n, x=1) for clarification purposes:

Initial developers at OpenCV chose the BGR color format (instead of the RGB one) because at the time, the BGR color format was very popular among software providers and camera manufacturers. For example, in Windows, when specifying a color value using COLORREF, they used the BGR format, 0x00bbggrr (https://docs.microsoft.com/es-es/windows/desktop/gdi/colorref). In summary, BGR was chosen for historical reasons.

Additionally, other Python packages use the RGB color format. Therefore, we need to know how to convert an image...

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