Gradient-based Edge Detection Using Nonlinear Edge-enhancing Prefilters
Document Type
Article
Publication Date
11-1995
Publication Source
IEEE Transactions on Image Processing
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.
Inclusive pages
1572 - 1577
ISBN/ISSN
1057-7149
Publisher
IEEE: Institute of Electrical and Electronics Engineers
Volume
4
Peer Reviewed
yes
Issue
11
eCommons Citation
Hardie, Russell C. and Boncelet, Charles G., "Gradient-based Edge Detection Using Nonlinear Edge-enhancing Prefilters" (1995). Electrical and Computer Engineering Faculty Publications. 87.
https://ecommons.udayton.edu/ece_fac_pub/87
COinS
