Longuet-Higgins transform

The Longuet-Higgins transform is a technique used in computer vision and image analysis to identify and analyze curves or edges within an image. It works by converting the visual information into a mathematical representation that captures the shape and orientation of curves. This transform enables efficient detection and matching of patterns, such as contours or boundaries, even in noisy or cluttered images. Essentially, it helps computers understand and interpret the structure of shapes in visual data by transforming the image into a form where features like edges are more easily recognized and compared.