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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

Sharpening


Applying the sharpening filter will sharpen the edges in the image. This filter is very useful when we want to enhance the edges of an image that's not crisp enough. Here are some images to give you an idea of what the image sharpening process looks like:

As you can see in the preceding figure, the level of sharpening depends on the type of kernel we use. We have a lot of freedom to customize the kernel here, and each kernel will give you a different kind of sharpening. To just sharpen an image, as we are doing in the top-right image in the preceding picture, we would use a kernel like this:

If we want to do excessive sharpening, as in the bottom-left image, we would use the following kernel:

But the problem with these two kernels is that the output image looks artificially enhanced. If we want our images to look more natural, we would use an edge enhancement filter. The underlying concept remains the same, but we use an approximate Gaussian kernel to build this filter. It will help...

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