Hough transform numerical example

1. What is Hough transform algorithm?
2. What is Hough transform in image processing?
3. How do you find the lines in an image using the Hough transform?

What is Hough transform algorithm?

The Hough transform (HT) [Hough62] is a technique that locates shapes in images. In particular, it has been used to extract lines, circles and ellipses (or conic sections). In the case of lines, its mathematical definition is equivalent to the Radon transform [Deans81].

What is Hough transform in image processing?

The Hough transform is a feature extraction technique used in image analysis, computer vision, and digital image processing. The purpose of the technique is to find imperfect instances of objects within a certain class of shapes by a voting procedure.

How do you find the lines in an image using the Hough transform?

Detect Lines in Images Using Hough

Find the edges in the image using the edge function. BW = edge(rotI,'canny'); imshow(BW); Compute the Hough transform of the binary image returned by edge . [H,theta,rho] = hough(BW);