Generalized Hough Transform

The Generalized Hough Transform is a technique used in computer vision to detect shapes or objects in images. Unlike traditional methods, which focus on specific shapes, this approach can recognize various patterns, even if they are rotated or scaled. It works by using a reference shape to create a "vote" system, where possible locations and orientations of the shape in the image are tallied. The most voted positions indicate where the shape is likely found. This flexibility allows it to handle complex scenes and variations, making it valuable in applications like object recognition and image analysis.