Title :
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
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;
Conference_Titel :
Intelligent Control, 1997. Proceedings of the 1997 IEEE International Symposium on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-4116-3
DOI :
10.1109/ISIC.1997.626474
