Help understand the results of hough transform

1. What does a Hough transform do?
2. How do you use Hough transform to detect lines?
3. For what purpose Hough transform is used explain the Hough transform with example?
4. How object recognition is done through Hough transform?

What does a 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.

How do you use Hough transform to detect lines?

Create a hough transform matrix using the hough function. Locate the peaks in the Hough transform matrix function. The peaks correspond to the intersection point in the parameter plane. Each of these peaks is a detected line.

For what purpose Hough transform is used explain the Hough transform with example?

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 object recognition is done through Hough transform?

In this paper we use Hough transform technique to identify the shape of the object by mapping the edge points of the image and also to identify the existing straight lines in the image. The Edge Detection Algorithm is applied to detect the edge points by the sharp or sudden change in intensity.