A Novel Edge Detection Framework by Component Tree Construction

This paper proposes a new edge detection framework with component tree construction. This open framework is efficient for edge property computation and convenient for subsequent image processing. We detect edges according to the properties which are customized by framework rules. Experiments on using the framework for a new efficient implementation of Canny edge detector are reported. The results demonstrate that the tree construction is efficient and the framework is flexible.