OpenCV: Computer Vision Projects with Python

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 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.