Answer:
The Hough transform is a feature extraction technique used in image analysis, computer vision, and digital image processing. It is used to detect simple shapes such as lines, circles, and ellipses in images. The Hough transform algorithm works by mapping points in an image space to lines in a parameter space. The algorithm then searches for peaks in the parameter space to detect lines in the image space.
Edge linking is often applied as a second step after applying the Hough transform. In edge linking, each peak represents a line across the image. You can visit the pixels along that line, find the ones that are set (assuming a binary input image) .
For example, let’s say you have an image of a circuit board with lines on it. You can use edge detection algorithms to detect edges of the lines in the image. Then you can apply the Hough transform algorithm to detect straight lines in the image. Finally, you can apply edge linking to connect these straight lines into longer lines .