Line Detection

Line detection, a fundamental computer vision task, aims to accurately identify and locate lines within images, crucial for various applications like autonomous navigation, document analysis, and 3D reconstruction. Current research emphasizes developing robust algorithms that handle challenging conditions such as noise, occlusion, and varying line thicknesses, employing techniques ranging from classical Hough transforms and Radon transforms to advanced deep learning models like transformers and generative adversarial networks (GANs). These improvements enhance the accuracy and efficiency of line detection, impacting fields requiring precise scene understanding and automated data extraction from images and videos.