Share Email Print
cover

Proceedings Paper

Multidimensional Morphological Edge Detection
Author(s): Richard J. Feehs; Gonzalo R. Arce
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Recently, mathematical morphology has been used to develop efficient and statistically robust 2-dimensional edge detectors[1]. These edge detectors have been shown to outperform most mask and differentiation based edge detectors. In this paper, we introduce a general robust N-dimensional morphological edge detector that outperforms any of the previously developed morphological edge detectors. We compare the statistical performance of our edge detector with that of the previously developed 2-D morphological edge detector on images with various noise levels. Finally, we will also include some examples of our edge detector's output on both 2 and 3-dimensional images to compare with other operators.

Paper Details

Date Published: 13 October 1987
PDF: 8 pages
Proc. SPIE 0845, Visual Communications and Image Processing II, (13 October 1987);
Show Author Affiliations
Richard J. Feehs, University of Delaware (United States)
Gonzalo R. Arce, University of Delaware (United States)


Published in SPIE Proceedings Vol. 0845:
Visual Communications and Image Processing II
T. Russell Hsing, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray