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Proceedings Paper

Sending image information to its Fourier phase and its use toward image recognition
Author(s): Hamid Fahimi
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Paper Abstract

An iterative algorithm has been presented that sends the information of a real and non-negative image to its Fourier phase. The result is a complex image with uniform amplitude in the Fourier domain. Thus in the frequency domain all the information is in the phase and the amplitude is a constant for all frequencies. In the space domain the image, although complex, has the desired property of having an absolute value the same as the original real image. Matched filtering is a common procedure for image recognition with the conjugate of the Fourier transform of the model being the frequency response of the filter. It is shown that using these new complex images instead of the ordinary real images makes the output of the filter very peaked in the case of a match and widely spread in the case of a mis-match. THus the new filter has a highly superior performance over the conventional matched filtering. It is also shown that due to the above properties the new filter performs very well when filter's input is highly corrupted by additive noise.

Paper Details

Date Published: 14 November 1996
PDF: 9 pages
Proc. SPIE 2847, Applications of Digital Image Processing XIX, (14 November 1996); doi: 10.1117/12.258231
Show Author Affiliations
Hamid Fahimi, Stanford Univ. (United States)

Published in SPIE Proceedings Vol. 2847:
Applications of Digital Image Processing XIX
Andrew G. Tescher, Editor(s)

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