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Mastering OpenCV 4 with Python

You're reading from   Mastering OpenCV 4 with Python A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789344912
Length 532 pages
Edition 1st Edition
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Author (1):
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Alberto Fernández Villán Alberto Fernández Villán
Author Profile Icon Alberto Fernández Villán
Alberto Fernández Villán
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Table of Contents (20) Chapters Close

Preface 1. Section 1: Introduction to OpenCV 4 and Python
2. Setting Up OpenCV FREE CHAPTER 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

Arithmetic with images

In this section, we will learn about some common arithmetic operations that can be performed on images, such as bitwise operations, addition, and subtraction, among others. In connection with these operations, one key point to take into account is the concept of saturation arithmetic, which is explained in the following subsection.

Saturation arithmetic

Saturation arithmetic is a type of arithmetic operation where the operations are limited to a fixed range by restricting the maximum and minimum values that the operation can take. For example, certain operations on images (for example, color space conversions, interpolation techniques, and so on) can produce values out of the available range. Saturation...

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