Editor-in-Chief : V.K. Rastogi
ASIAN JOURNAL OF PHYSICS
An International Peer Reviewed Research Journal
Frequency : Monthly,
ISSN : 0971 – 3093
Editor-In-Chief (Hon.) :
Dr. V.K. Rastogi
e-mail:[email protected]
[email protected]
AJP | ISSN : 0971 – 3093 Vol 8, No 4, October – December, 1999 |
Asian
Journal of Physics
Vol 8, No 4, October – December, 1999
Vol. 8, No 4 (1999) 381-383
Enhancing the
discrimination capability of phase only filter
ABDUL AHAD S. AWWAL and HOWARD E
MICHEL
Computer Science & Engineering
Wright State University
Dayton, Ohio 45435,USA
Electrical and Computer
Engineering, University of Massachusetts, Dartmouth
Dartmouth, MA, 02747 USA
This paper establishes the equivalence of the phase
only filter and a complex-valued neural network, and then shows how neural
network learning can be utilized to enhance the capability of phase-only-filter
based system. Specifically, the capability of phase only filters in pattern
matching tasks is enhanced by using complex-valued, neural network learning
algorithms. By incorporating the neural network based learning, the recognition
capability of phase only filter under various transformations and distortions
can be enhanced. © Anita Publications. All rights reserved.
Total Refs : 18
Vol 8, No 4 (1999) 385-396
The use of regions of
support in the design of filters for optical
pattern recognition
M J YZUEL, J CAMPOS, I MORENO*, E
AHOUZI and A ATTALEB
Departamento de Fisica, Universidad Autonoma de Barcelona, 08193 Bellaterra,
Spain
Dept. de Ciencia y
Tecnologia de Materiales, Universidad Miguel Hernandez, 03202 Elche, Spain
In this work we present numerical simulations and
experimental results on the use of regions of support applied to phase only
filters, in pattern recognition problems. The regions of support indicate the
pixels of the phase-only filter which are blocked, following an optimization
criteria for the correlation intensity distribution. We present results on the
design of regions of support that optimize the discrimination capability between
similar objects. We apply this technique to the recognition of monochromatic
patterns, and also to the case of colored patterns using a multichannel
correlation procedure. Finally we show experimental results of the
implementation of regions of support using phase-only spatial light modulators.
The implementation based on the addition of linear phase codes to the pixels
belonging to the region of support. © Anita Publications. All rights reserved.
Total Refs : 15
Vol 8, No 4 (1999) 397-405
Phase-only matched
filtering with a bistable spatial-light
modulator
YUKIHIRO ISHII and TAKESHI TAKAHASHI
Department of Electronics
University of Industrial Technology, Sagamihara,
4-1-1
Hashimotodai, Sagamihara, Kanagawa 229-1196, Japan
A real-time optical processing system is constructed
with an optically addressed bistable spatial light modulator (BSLM) for an input
object and a twisted nematic liquid-crystal spatial light modulator for a
phase-only filter. In order to improve the pattern discrimination in a
phase-only filtering correlator, the use of a phase-encoded input with the BSLM
is required. The binarization in phase input can be suppressed the dc component,
yielding the high discrimination. Helpful data on how the BSLM can operate the
phase-encoded modulator are shown. A phase-only filtering correlator with the
BSLM demonstrates high performance in pattern discriminability.© Anita
Publications. All rights reserved.
Total Refs : 26
Vol 8, No 4 (1999)407-420
Recent advances in
composite correlation filter designs
B V K
VIJAYA KUMAR and MAHALANOBIS*
Department of ECE, Carnegie Mellon
University, Pittsburgh, PA 15213, USA
*Raytheon Missile Systems Company, Tucson, AZ 85750, USA
Several advances in designing composite correlation
filters have been made during the last decade. Examples include unconstrained
filters, maximum average correlation height (MACH) filters, distance classifier
correlation filters (DCCF) and polynomial correlation filters (PCFs). We present
a tutorial review of these advanced composite correlation filters designs.©
Anita Publications. All rights reserved.
Total Refs : 11
Vol 8, No 4 (1999)421-429
Rotation invariance
considerations in cascaded linear shift
invariant processing
STUART
REED and JEREMY COUPLAND
Department of Mechanical Engineering, Loughborough
University, Ashby Road, Loughborough,
Leicestershire, LEI 1 3TU. United Kingdom.
We perform a study of the in-plane rotation invariance
characteristics of the cascaded correlator and compare our results with those of
a modified matched spatial filter (MSF), the equal correlation peak synthetic
discriminant function (ECP-SDF). The degradation in signal-to-noise ratio as a
function of in-plane rotation angle is numerically evaluated by computer
simulation for cascaded correlators to demonstrate the effect of training set
size. The correlator impulse response of each correlator is formulated by
backpropagation and simulated annealing with a training set containing random
images generated with an exponential shaped autocorrelation function. We show
that the SNR for rotations intermediate to those in the training set improves
with an increase in the training set size. However, the SNR of rotations close
to those in the training set reduces. It is found that, for the same image
space-bandwidth product (SBWP), the cascaded correlator remains rotation
invariant over a significantly greater range of rotation than the ECP-SDF. For
example, it is necessary to piecewise implement only three cascaded correlators
to maintain an SNR greater than 0dB across the rotation range whereas the
ECP-SDF system requires approximately 45 piecewise filters to obtain the same
result. SNR is degraded to an equivalent level to that of the ECP-SDF over
larger rotations intermediate to the training set. This degradation is found to
decrease with increased training set size for both systems.© Anita Publications.
All rights reserved.
Total Refs : 17
Vol 8, No 4 (1999) 485-496
Optical wavelet transform
implementations
SAMUEL P KOZAITIS
Division of Electrical,
Computer Science and Engineering Florida
Institute of Technology,
150
W. University Blvd., Melbourne,
Florida 32901
Wavelet transforms have been shown to have advantages
in image analysis, data compression and feature extraction, when compared to
other methods. We review the many optical methods that have been proposed or
demonstrated to calculate wavelet transforms.