My question is about edge descriptors produced from an edge detection method applied on an object image. As we know, an edge has four descriptors edge normal, edge direction, edge position, and edge strength. These descriptors are used for differentiating between the detected edges.
Are all of this descriptors are necessary? When can I dismiss any of these descriptors?
I am thinking about assumptions based on the properties of the input image, e.g., if the input image has no noise, can I neglect the edge strength and assume that all resulting edge points are true edges?