posted on 2018-05-23, 11:44authored byOmer M. Abdel-Gadir
Many practical and experimental systems employing image processing
techniques have been built by other workers for various applications.
Most of these systems are computer-based and very few operate in a
real time environment.
The objective of this work is to build a microprocessor-based
system for video image processing. The system is used in conjunction
with an on-line TV camera and processing is carried out in real time.
The enormous storage requirement of digitized TV signals and the real
time constraint suggest that some simplification of the data must take
place prior to any viable processing. Data reduction is attained
through the representation of objects by their edges, an approach
often adopted for feature extraction in pattern recognition systems.
A new technique for edge detection by applying comparison criteria
to differentials at adjacent pixels of the video image is developed
and implemented as a preprocessing hardware unit. A circuit for the
generation of the co-ordinates of edge points is constructed to free
the processing computer of this task, allowing it more time for on-line
analysis of video signals.
Besides the edge detector and co-ordinate generator the hardware
built consists of a microprocessor system based on a Texas Instruments
T.US 9900 device, a first-in-first-out buffer store and interface
circuitry to a TV camera and display devices. All hardware modules
and their power supplies are assembled in one unit to provide a standalone
instrument.
The problem chosen for investigation is analysis of motion in a
visual scene. Aspects of motion studied concern the tracking of moving
objects with simple geometric shapes and description of their motion.
More emphasis is paid to the analysis of human eye movements and measurement of its point-of-regard which has many practical applications
in the fields of physiology and psychology. This study provides a
basis for the design of a processing unit attached to an oculometer
to replace bulky minicomputer-based eye motion analysis systems.
Programs are written for storage, analysis and display of results
in real time.
History
School
Mechanical, Electrical and Manufacturing Engineering
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Publication date
1982
Notes
A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.