Hough

Difference between Generalized Hough Transform and Cross-correlation Feature Matching

Difference between Generalized Hough Transform and Cross-correlation Feature Matching
  1. What does Hough transform do?
  2. Which processing is required to be applied before hough line transform?
  3. How edges are linked through Hough transform?
  4. How does Hough line detection work?

What does Hough transform do?

The Hough transform is a popular feature extraction technique that converts an image from Cartesian to polar coordinates. Any point within the image space is represented by a sinusoidal curve in the Hough space.

Which processing is required to be applied before hough line transform?

Edge detection is often used as preprocessing to Hough preprocessing to Hough transform.

How edges are linked through Hough transform?

Each edge point plots to a sinusoidal curve in the ρ,θ space, but these curves must intersect at a point ρ0,θ0. Since this is a line they all have in common. Using this equation and varying the values of a and b, infinite lines can pass through this point (x1,y1). This is another line in the ab plane.

How does Hough line detection work?

If two edge points lay on the same line, their corresponding cosine curves will intersect each other on a specific (ρ, θ) pair. Thus, the Hough Transform algorithm detects lines by finding the (ρ, θ) pairs that have a number of intersections larger than a certain threshold.

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