Implementation of Hough Transform for image processing applications

Abstract

Hough Transform (HT) can provide a significant solution to the problems associated with line detection in an image. Line detection is used to detect the presence of lines in an image, at a particular orientation. The importance of line detection is used for detecting sharp changes in image brightness. HT is a popular technique in computer vision. The HT for line detection replaces the original problem of detecting collinear points in an image space by a simpler task of finding peak points in a parameter space. The proposed method used in this paper is to implement Generalized Hough Transform (GHT) on an image, since in GHT any straight line in the image is represented by a single point in the (ρ θ) parameter space and any part of this straight line is transformed into the same point. It can compute the HT of 256 × 256 test images. It can able to detect the lines present in the image and also it can extract feature points in an image.