Deep learning edge extraction is a new and unique method to robustly extract edges (e.g., object boundaries) that comes with two major use cases:
Especially for scenarios where a variety of edges is visible in an image, MVTec's deep learning edge extraction can be trained with only few images to reliably extract the desired edges.
Hence, the programming effort to extract specific kinds of edges is highly reduced with MVTec HALCON. Besides, the pretrained network is innately able to robustly detect edges in low contrast and high noise situations. This makes it possible to extract edges that usual edge detection filters cannot detect.