Title :
A nonparametric algorithm for edge localization
Author :
Chou, Kae-Jy ; Schunck, Brian G.
Author_Institution :
Dept. of Elecr. Eng. & Comput. Sci., Univ. of Michigan, Ann Arbor, MI, USA
Abstract :
A nonparametric algorithm for edge localization is presented. When an edge detector is applied to the edge of interest, nearby edges introduce interference into the detection process and cause detected edge locations to differ from the true edge locations. The algorithm recovers the true edge location by removing the edge interference which is estimated by adapting nonparametric methods in statistics and employing robust statistics
Keywords :
edge detection; nonparametric statistics; smoothing methods; edge detector; edge interference; edge localization; nonparametric algorithm; robust statistics; Artificial intelligence; Detectors; Filters; Image edge detection; Image reconstruction; Interference; Laboratories; Parametric statistics; Robustness; Statistics; Yield estimation;
Conference_Titel :
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-8186-3880-X
DOI :
10.1109/CVPR.1993.341180
