Parallel contour recognition using matched filter

Author

Dziech, A. ; Amuri, A. ; Hubert, M. ; Besbas, W. ; Nern, H.J.

Author_Institution

Dept. of Electron. & Commun., Tech. Univ. of Kielce, Poland

fYear

1997

fDate

16-18 Jul 1997

Firstpage

293

Lastpage

296

Abstract

An approach to parallel contour recognition is proposed. This approach is based on a matched filter in the spectral domain in parallel to selected geometrical features of contours such as length of the contour, area, radius and center of gravity. In the experimental part of this paper, the selected contours were extracted from the 2D image using the OCE (object-oriented contour extraction) method for contour extraction. Then, these contours were corrupted by Gaussian noise and the number of errors (misrecognized contours) were recorded. Several transforms like Walsh, PWL and Fourier were applied for the matched filter. The recognition results for different signal to noise ratios are shown

Keywords

Fourier transforms; Gaussian noise; feature extraction; filtering theory; matched filters; 2D image; Fourier transform; Gaussian noise; PWL transform; Walsh transform; matched filter; object-oriented contour extraction; parallel contour recognition; signal to noise ratios; spectral domain; Automatic control; Fourier transforms; Gaussian noise; Gravity; Image processing; Knowledge based systems; Matched filters; Radar applications; Signal detection; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 1997. Proceedings of the 1997 IEEE International Symposium on

Conference_Location

Istanbul

ISSN

2158-9860

Print_ISBN

0-7803-4116-3

Type

conf

DOI

10.1109/ISIC.1997.626474

Filename

626474