Enhanced Canny edge detection using curvature consistency

Abstract

Edges are often considered as primary image artifacts for extraction by low-level processing techniques, and the starting point for many computer vision techniques. As a result, reliable edge detection has long been a research goal. This paper describes initial investigations into recovering reliable edges using curvature models. Essentially, we modify Canny's edge detector using a curvature consistency process to adjust the gradient direction estimates prior to finding the zero crossings in those directions.