Summary
In this chapter, we learned about noise and low-pass filtering techniques and how they are used to smooth images. The techniques we learned about in this chapter are very useful if we wish to remove various types of noise from images. You will use these techniques for removing, smoothing, and blurring noise while writing programs for real-life applications such as detecting movement in real time with a USB webcam.
In the next chapter, we will study high-pass filtering techniques and how to detect edges using various functions offered by OpenCV that implement various mathematical morphological operators.