To show you the coordinate system in OpenCV and how to access individual pixels, we are going to show you a low-resolution image of the OpenCV logo:
This logo has a dimension of 20 × 18 pixels, that is, this image has 360 pixels. So, we can add the pixel count in every axis, as shown in the following image:
Now, we are going to look at the indexing of the pixels in the form (x,y). Notice that pixels are zero-indexed, meaning that the upper left corner is at (0, 0), not (1, 1). Take a look at the following image, which indexes three individual pixels. As you can see, the upper left corner of the image is the coordinates of the origin. Moreover, y coordinates get larger as they go down:
The information for an individual pixel can be extracted from an image in the same way as an individual element of an array is referenced in Python. In the...
