In this chapter, we learned about the importance of computer vision and the challenges we face in the field of computer vision. We also learned about color spaces, edge detection, and the different types of image transformation, as well as the many examples of using OpenCV. We are going to use a few of these techniques in later chapters.Â
We learned about the building blocks of an image and how a computer sees an image. We also learned about the importance of color space techniques, such as convolution. We are going to apply all the techniques that we covered here in future chapters.
In the next chapter, we are going to apply computer-vision techniques and implement a software pipeline for detecting road markings. We will first apply this process to an image and then apply it to a video. In the next chapter, we are going to apply several of the techniques that we covered in this chapter, such as edge detection and Hough transformation.
