Local estimation of Gaussian-based edge enhancement filters using Fourier analysis

Author

Wang, Bin ; Rose, D.M. ; Farag, Aly A. ; Delp, Edward J.

Author_Institution

Eng. Math. & Comput. Sci. Dept., Louisville Univ., KY, USA

Volume

5

fYear

1993

fDate

27-30 April 1993

Firstpage

13

Abstract

An empirical measure for the selection of the edge-enhancement Gaussian filter is developed. The Gaussian filter is specified by its standard deviation sigma ; the filter´s spatial support is a function of sigma . An estimation procedure for sigma using Fourier analysis is described. The measure is easy to implement and is based totally on the image at hand. Experimental results suggest that this measure can be used as an aid in deciding the Gaussian filter´s spatial support, which is needed to enhance the edges. Other equivalent bandwidth definitions can be used to obtain a measure of the frequency spread in the smoothed image (e.g., the mean-square bandwidth).<>

Keywords

Fourier analysis; filtering and prediction theory; image segmentation; Fourier analysis; edge-enhancement Gaussian filter; estimation procedure; frequency spread; smoothed image; spatial support; standard deviation;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on

Conference_Location

Minneapolis, MN, USA

ISSN

1520-6149

Print_ISBN

0-7803-7402-9

Type

conf

DOI

10.1109/ICASSP.1993.319735

Filename

319735