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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

Chapter 2

  1. There are three image processing steps:
    1. Getting the necessary information to work with (for example, an image or video file, among others)
    2. Processing the image by applying image processing techniques
    3. Showing the results in the required way (for example, save the image to disk, show the image, and so forth)
  2. The processing step can be broken down into three processing levels:
    1. Low-level processing
    2. Mid-level processing
    3. High-level processing

  1. A grayscale image contains for every pixel of the image a value that is proportional to the brightness or gray levels of the image. This value is also called intensity or grayscale level. This value is ∈ [0, L-1], where L = 256 (for an 8-bit image).

On the other hand, black and white images contain for every pixel of the image a value that can only take two values. Usually, these values are 0 (black) and 255 (white...

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