Edge Tracing

Edge tracing, the process of identifying and connecting edge pixels in an image to form continuous lines or contours, is crucial for various computer vision tasks like object recognition and segmentation. Current research focuses on improving robustness and accuracy, employing methods such as convolutional autoencoders for abstract representation, level-line guidance for more precise edge tracking, and Gaussian process regression for handling noisy or incomplete data. These advancements enhance the reliability and efficiency of edge tracing, impacting applications ranging from power line detection in aerial imagery to medical image analysis.