posted on 2014-03-27, 14:13authored byChristopher Davison
Pattern recognition is a rapidly expanding area of research, with applications ranging
from character recognition and component inspection to robotic guidance and military
reconnaissance. The basic principle of image recognition is that of comparing the
unknown image with many known reference images or 'filters', until a match is found.
By comparing the unknown image with a large data bank of filters, the diversity of the
application can be extended. The work presented in this thesis details the practical
development of an optical disk based memory system as applied in various optical
correlators for pattern recognition purposes.
The characteristics of the holographic optical disk as a storage medium are
investigated in terms of information capacity and signal to noise ratio, where a fully
automated opto-mechanical system has been developed for the control of the optical
disk and the processing of the information recorded. A liquid crystal television has
been used as a Spatial Light Modulator for inputting the image data, and as such, the
device characteristics have been considered with regard to processing both amplitude
and phase information. Three main configurations of optical correlator have been
applied, specifically an image plane correlator, a VanderLugt correlator, and an
Anamorphic correlator. Character recognition has been used to demonstrate correlator
performance, where simple matched filtering has been applied, subsequent to which,
an improvement in class discrimination has been demonstrated with the application of
the Minimum Average Correlation Energy filter. The information processing rate
obtained as a result of applying 2D parallel processing has been shown to be many
orders of magnitude larger than that available with comparable serial based digital
systems.
History
School
Mechanical, Electrical and Manufacturing Engineering