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Learning OpenCV 4 Computer Vision with Python 3

You're reading from   Learning OpenCV 4 Computer Vision with Python 3 Get to grips with tools, techniques, and algorithms for computer vision and machine learning

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Product type Paperback
Published in Feb 2020
Publisher Packt
ISBN-13 9781789531619
Length 372 pages
Edition 3rd Edition
Languages
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Authors (2):
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Joe Minichino Joe Minichino
Author Profile Icon Joe Minichino
Joe Minichino
Joseph Howse Joseph Howse
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Joseph Howse
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Table of Contents (13) Chapters Close

Preface 1. Setting Up OpenCV 2. Handling Files, Cameras, and GUIs FREE CHAPTER 3. Processing Images with OpenCV 4. Depth Estimation and Segmentation 5. Detecting and Recognizing Faces 6. Retrieving Images and Searching Using Image Descriptors 7. Building Custom Object Detectors 8. Tracking Objects 9. Camera Models and Augmented Reality 10. Introduction to Neural Networks with OpenCV 11. Other Book You May Enjoy Appendix A: Bending Color Space with the Curves Filter

Processing Images with OpenCV

Sooner or later, when working with images, you will find you need to alter them: be it by applying artistic filters, extrapolating certain sections, blending two images, or whatever else your mind can conjure. This chapter presents some techniques that you can use to alter images. By the end of it, you should be able to perform tasks such as sharpening an image, marking the contours of subjects, and detecting crosswalks using a line segment detector. Specifically, our discussion and code samples will cover the following topics:

  • Converting images between different color models
  • Understanding the importance of frequencies and the Fourier transform in image processing
  • Applying high-pass filters (HPFs), low-pass filters (LPFs), edge detection filters, and custom convolution filters
  • Detecting and analyzing contours, lines, circles, and other geometric shapes
  • Writing classes and functions that encapsulate the implementation of a filter
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