Title :
The selection of edge detectors using local image structure
Author :
Ziou, D. ; Koukam, A.
Author_Institution :
Dept. de Math. et d´´Inf., Sherbrooke Univ., Que., Canada
Abstract :
This paper summarizes a system, called SED, “Selection-of Edge Detectors”, which is able to automatically select edge detectors and their scales to extract a given edge. The basic organization of the SED system is a collection of edge detectors within a knowledge structure about the characteristics of the given edge, the properties of the detectors and the mutual relation between them. The combination of this information in the selection process provides a basis for avoiding a combinatorial search for appropriate edge detectors. We illustrate our approach by an example
Keywords :
computer vision; edge detection; feature extraction; SED; Selection-of Edge Detectors; combinatorial search; computer vision; edge detector selection; edge extraction; knowledge structure; local image structure; Computer vision; Data mining; Detectors; Failure analysis; Image analysis; Image edge detection; Information resources; Smoothing methods;
Conference_Titel :
Tools with Artificial Intelligence, 1995. Proceedings., Seventh International Conference on
Conference_Location :
Herndon, VA
Print_ISBN :
0-8186-7312-5
DOI :
10.1109/TAI.1995.479655
