Howtosignalprocessing
- How is object recognition done through Hough transform?
- How Hough transform is used for boundary shape detection?
- Can Hough transform detect curves?
- How can Hough transform be used to identify lines?
How is object recognition 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.
How Hough transform is used for boundary shape detection?
Hough transform can detect lines, circles and other structures if their parametric equation is known. It can give robust detection under noise and partial occlusion • It can give robust detection under noise and partial occlusion. Borders between the regions are • Borders between the regions are straight lines.
Can Hough transform detect curves?
The Hough Transform (HT) is a popular technique for detecting straight lines and curves on gray-scale images. It maps image data from image space to a parameter space, where curve detection becomes peak detection problem.
How can Hough transform be used to identify lines?
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.
