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OpenCV 3.x with Python By Example - Second Edition

You're reading from  OpenCV 3.x with Python By Example - Second Edition

Product type Book
Published in Jan 2018
Publisher Packt
ISBN-13 9781788396905
Pages 268 pages
Edition 2nd Edition
Languages
Authors (2):
Gabriel Garrido Calvo Gabriel Garrido Calvo
Profile icon Gabriel Garrido Calvo
Prateek Joshi Prateek Joshi
Profile icon Prateek Joshi
View More author details
Toc

Table of Contents (17) Chapters close

Title Page
Copyright and Credits
Contributors
Packt Upsell
Preface
1. Applying Geometric Transformations to Images 2. Detecting Edges and Applying Image Filters 3. Cartoonizing an Image 4. Detecting and Tracking Different Body Parts 5. Extracting Features from an Image 6. Seam Carving 7. Detecting Shapes and Segmenting an Image 8. Object Tracking 9. Object Recognition 10. Augmented Reality 11. Machine Learning by an Artificial Neural Network 1. Other Books You May Enjoy

Summary


In this chapter, we learned how to use image filters to apply cool visual effects to images. We discussed the fundamental image processing operators, and how we can use them to build various things. We learned how to detect edges using various methods. We understood the importance of 2D convolution and how we can use it in different scenarios. We discussed how to smooth, motion-blur, sharpen, emboss, erode, and dilate an image. We learned how to create a vignette filter, and how we can change the region of focus as well. We discussed contrast enhancement and how we can use histogram equalization to achieve it.

In the next chapter, we will discuss how to cartoonize a given image.

 

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