A Complete Guide on Hough Transform - Analytics Vidhya

This article was published as a part of the Data Science Blogathon. The Hough transform (HT) is a feature extraction approach in image analysis, computer vision, and digital image processing [1]. It uses a voting mechanism to identify bad examples of objects inside a given class of forms. This voting mechanism is carried out in parameter space. Object candidates are produced as local maxima in an accumulator space using the HT algorithm.