Scale detection based on statistical characteristics of edges in the scale space

Author

Eua-Anant, Nawapak ; Udpa, Lalita

Author_Institution

Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA

Volume

6

fYear

1999

fDate

15-19 Mar 1999

Firstpage

3297

Abstract

A study of the behavior of edges in the scale space is presented in this paper. Three statistical parameters, intensity average, root-mean-square, and variance of pixel intensity in edge images are used as the basis for evaluating visual quality of edge images. A parametric family of edge images containing edge information at several scales is used to create the edge statistic curves. It is found that the number of local minima in edge statistic curves is related to the number of scales in an image. This leads to an automated method for detecting scales in an image and a criteria for selecting optimal parameters for a multiscale edge operator

Keywords

edge detection; image processing; statistical analysis; edge images; edge information; edge statistic curves; intensity average parameter; multiscale edge operator; optimal parameters; pixel intensity variance; root-mean-square parameter; scale detection; scale space; statistical characteristics; visual quality evaluation; Convolution; Data handling; Filters; Image analysis; Image edge detection; Image processing; Parametric statistics; Pixel; Signal processing; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on

Conference_Location

Phoenix, AZ

ISSN

1520-6149

Print_ISBN

0-7803-5041-3

Type

conf

DOI

10.1109/ICASSP.1999.757546

Filename

757546