Image segmentation is the process by which an image is divided into number of regions. The regions are to be homogeneous with respect to some property. Definition of homogeneity depends mainly on the expected patterns of the objects of interest. The algorithms designed to perform these tasks can be divided...
Morphological filters have shown good performance in various image processing applications. Furthermore, their algorithms are easy to implement in special architectures, with the exception that linear filtering cannot be implemented in many of these cases. In this study, a new architecture and corresponding algorithm, capable of realizing linear shiftinvariant filters,...
"Expert systems" is an area in the field of
artificial intelligence which attempts to encode an
"expert's" heuristic knowledge and reasoning ability into
a computer program. The purpose of this study is to
investigate the applicability of using an "expert system"
in a closed-loop automatic control system.
An "expert system"...
Mathematical models for the doubly-fed machine are
presented. The properties of the machine with rotor excitation as supplied by a power converter with voltage
source character are reviewed. The peculiar torque-speed
characteristic of the machine in this operating mode and
its effect on the stability of the machine are presented....
With the development of converters and inverters, it
became possible to control the stator current of an
induction motor. The differential equations which describe
transient behavior of the induction motor are conveniently
expressed by transforming the stator and rotor variables to
d-q axes rotating at synchronous speed. The transient
behavior...
Most of the existing research on mathematical morphology is
restricted to the deterministic case. This thesis addresses the void
in the results on the stochastic properties of morphological filters.
The primary results include analysis of the stochastic
properties of morphological operations, such as dilation, erosion,
closing and opening. Two unbiased...
A systematic optimization of the Cohen class time-frequency
transformation for detecting the parameters change is developed.
The local moments approach to change detection is proposed and a
general formula for the local moments is derived. The optimal
kernel functions of the time-frequency transformation are determined
based on the combined criteria...
Mathematical morphology, developed in the early 1960's for
single-component signals, has been applied to a number of image
processing applications. This investigation examines the systematic
extension of mathematical morphology to multi-variate signals.
Two approaches are considered. The first approach, the
extension of the theory of single-component morphological filters to
multi-variate...
A general discrete-time, adaptive, multidimensional framework is introduced
for estimating the motion of one or several object features from their successive
non-linear projections on an image plane. The motion model consists of
a set of linear difference equations with parameters estimated recursively from
a non-linear observation equation. The model dimensionality...