Explore the Hough Transform and its applications in image processing through this 43-minute lecture from the University of Central Florida. Delve into image feature extraction techniques, focusing on shape features and line fitting methods. Learn about least squares fit, line fitting segmentation, and the Hough Transform's polar form equation. Examine image gradients, line fitting examples, and the impact of noise factors. Investigate practical circle fitting techniques and the Generalized Hough Transform. Discover how to generate R-tables for shape detection and achieve rotation and scale invariance in image analysis.