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OpenCV 3.x with Python By Example

You're reading from   OpenCV 3.x with Python By Example Make the most of OpenCV and Python to build applications for object recognition and augmented reality

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788396905
Length 268 pages
Edition 2nd Edition
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Authors (2):
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Gabriel Garrido Calvo Gabriel Garrido Calvo
Author Profile Icon Gabriel Garrido Calvo
Gabriel Garrido Calvo
Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
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Table of Contents (17) Chapters Close

Title Page
Copyright and Credits
Contributors
Packt Upsell
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. 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

Why do we care about seam carving?


Before we start our discussion about seam carving, we need to understand why it is needed in the first place. Why should we care about the image content? Why can't we just resize the given image and move on with our lives? Well, to answer those questions, let's consider the following image:

Now, let's say we want to reduce the width of this image while keeping the height constant. If we do that, it will look something like this:

As you can see, the ducks in the image look skewed, and there's degradation in the overall quality of the image. Intuitively speaking, we can say that the ducks are the interesting parts in the image. So, when we resize it, we want the ducks to be intact. This is where seam carving comes into the picture. Using seam carving, we can detect these interesting regions and make sure they don't get degraded.

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