Some Statistical Estimations for Voting in Hough Transform

Transform The Hough Transform (HT) is an essential method in detecting geometric shapes in images. In this work, we concentrate on enhancing the accuracy and efficiency of the HT through the statistical estimation for the voting process in lines detection. We propose a statistical pattern detection method, which aims to introduce a new estimation of the polar angle θ of a detected line in an image and its radial distance r after estimating the slope and intercept of line of detection.