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OpenCV with Python By Example

You're reading from   OpenCV with Python By Example Build real-world computer vision applications and develop cool demos using OpenCV for Python

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Product type Paperback
Published in Sep 2015
Publisher Packt
ISBN-13 9781785283932
Length 296 pages
Edition 1st Edition
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Author (1):
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Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
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Table of Contents (14) Chapters Close

Preface 1. Applying Geometric Transformations to Images FREE CHAPTER 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. Creating a Panoramic Image 7. Seam Carving 8. Detecting Shapes and Segmenting an Image 9. Object Tracking 10. Object Recognition 11. Stereo Vision and 3D Reconstruction 12. Augmented Reality Index

Summary

In this chapter, we learned how to install OpenCV-Python on various platforms. We discussed how to read, display, and save images. We talked about the importance of various color spaces and how we can convert between multiple color spaces. We learned how to apply geometric transformations to images and understood how to use those transformations to achieve cool geometric effects. We discussed the underlying formulation of transformation matrices and how we can formulate different kinds of transformations based on our needs. We learned how to select control points based on the required geometric transformation. We discussed about projective transformations and learned how to use image warping to achieve any given geometric effect. In the next chapter, we are going to discuss edge detection and image filtering. We can apply a lot of visual effects using image filters, and the underlying formation gives us a lot of freedom to manipulate images in creative ways.

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OpenCV with Python By Example
Published in: Sep 2015
Publisher: Packt
ISBN-13: 9781785283932
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