Title :
Gradient-based edge detection using nonlinear edge enhancing prefilters
Author :
Hardie, Russell C. ; Boncelet, Charles G.
Author_Institution :
Dept. of Electr. Eng., Dayton Univ., OH, USA
fDate :
11/1/1995 12:00:00 AM
Abstract :
This correspondence examines the use of nonlinear edge enhancers as prefilters for edge detectors. The filters are able to convert smooth edges to step edges and suppress noise simultaneously. Thus, false alarms due to noise are minimized and edge gradient estimates tend to be large and localized. This leads to significantly improved edge maps
Keywords :
edge detection; filtering theory; image enhancement; interference suppression; nonlinear filters; CS filter; LUM filter; WMMR filter; comparison and selection filter; gradient-based edge detection; image processing; lower-upper-middle filter; noise suppression; nonlinear edge enhancing prefilters; smooth edges; step edges; weighted majority of samples with minimum range filter; Data mining; Detectors; Feature extraction; Image converters; Image edge detection; Image processing; Noise level; Nonlinear filters; Smoothing methods;
Journal_Title :
Image Processing, IEEE Transactions on
