O'Reilly logo

Computer Vision with Python 3 by Saurabh Kapur

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Summary

In this chapter, we first learned about image filters and convolutions. Then we went on to see some examples of filters such as the Gaussian blur, median filter, dilation, and erosion. These are mostly used as preprocessing steps in a larger computer vision system and are seldom used in isolation. Then we looked at more interesting concepts such as edge detection, where we looked at the Canny and Sobel edge detectors. Edge detection also plays a very important role in computer vision and having a thorough understanding of these concepts will help you understand even more complex algorithms that we will see further in the book. Finally we learned how to detect rigid shapes in an image using the Hough transformations.

As we will see ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required