MATLAB hough

The Hough transform is a popular feature extraction technique used in computer vision and image processing. It is used to detect straight lines, circles, and other simple shapes in an image.

MATLAB provides a built-in function called "hough" to perform the Hough transform on an image. The syntax of the function is as follows:

[H,theta,rho] = hough(BW)

where BW is the binary image on which the Hough transform is to be performed. The function returns the Hough transform matrix H, the vector of theta values (angle of the detected lines), and the vector of rho values (distance from the origin to the detected lines).

Once the Hough transform matrix is obtained, it can be used to detect lines in the image using the "houghlines" function. This function takes the Hough transform matrix, theta, and rho values as input and returns the parameters of the detected lines.

Similarly, the Hough transform can also be used to detect circles using the "houghcircles" function in MATLAB. This function takes the Hough transform matrix, the radius range, and other parameters as input and returns the parameters of the detected circles.

Overall, the Hough transform is a powerful tool in MATLAB for detecting simple shapes in images and has a wide range of applications in computer vision and image processing.