[OPTICAL REVIEW Vol. 8, No. 2 (2001) 95-100]
Pattern Detection in Gray-Scale Images with Polarization Coding
Kayo SHIMIZU,1 Yasuhiro TAKAKI2 and Hitoshi OHZU1
1Department of Applied Physics, School of Science and Engineering, Waseda University, 3-4-1, Okubo, Shinjuku-ku, Tokyo 169-8555 Japan, 2Department of Electrical and Electronic Engineering, Faculty of Engineering, Tokyo University of Agriculture and Technology, 2-24-16, Naka-cho, Koganei, Tokyo 184-8588 Japan
(Received September 4, 2000; Accepted February 2, 2001)
Most of the matched filtering techniques that have been used for pattern recognition have manipulated amplitude and phase information. Light, however, has another principal type of information that has not yet been used for pattern recognition. We propose a matched filtering technique which manipulates the polarization of light and shows the merits of using polarization information. The amplitude transmittance of input images is coded into the two-dimensional orientation distribution of linearly polarized light. A polarization spatial filter, which can change the light polarization two-dimensionally, is designed by considering the polarization distribution of the Fourier transform of an image to be detected which is polarization-coded. The proposed technique shows a better capacity to discriminate gray-scale images than do the conventional matched filtering techniques.
Key words : polarization coding, pattern detection, gray-scale images, liquid crystal spatial light modulator, matched filtering