Edge grouping by using orientation information
Lianyue Zhang, Johannes D'Haeyer, Ignace Bruyland · 2002
The edge is an important feature required by many computer vision tasks. One crucial step of edge or line detection is grouping. Local orientation in a gray scale image provides an important clue for grouping. An algorithm, used for edge or grouping based on the local orientation information, is proposed. The results are shown, and compared with a well-known transform.