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 learnt 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 smoothen, 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.
OpenCV with Python By Example
By :
OpenCV with Python By Example
By:
Overview of this book
Table of Contents (19 chapters)
OpenCV with Python By Example
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Applying Geometric Transformations to Images
Detecting Edges and Applying Image Filters
Cartoonizing an Image
Detecting and Tracking Different Body Parts
Extracting Features from an Image
Creating a Panoramic Image
Seam Carving
Detecting Shapes and Segmenting an Image
Object Tracking
Object Recognition
Stereo Vision and 3D Reconstruction
Augmented Reality
Index
Customer Reviews