Vision is a flexible, non-contact sensor that can be used for position feedback in
closed-loop control of dynamic systems. Current vision systems for industrial
automation provide low sample rates and large sample delays relative to other types of
position sensors. Poor sample rates and sample delays are a result of...
The full capacity of the existing transmission lines is often underutilized
due to the system stability requirements. Controllable network devices represent
the effective means of improving the system stability, and their deployment allows
better use of the existing transmission facilities and can help to avoid construction of
new lines. This...
Adaptive filtering may be applied in areas where an optimal filtering algorithm
may not be known a-priori and where the filtering operation may be non-stationary. This
field, or more generally, the field of adaptive systems, is one which may be regarded as
mature, having been the subject of considerable research...
A fully automated method for content-based color image retrieval is developed to extract color and shape content of an image. A color segmentation algorithm based on the k-mean clustering algorithm is used and a saturated distance is proposed to discriminate between two color points in the HSV color space. The...
A new, fully automated summarization algorithm of MPEG compressed videos is designed to address the challenge of content based video retrieval. This algorithm segments the MPEG stream motion vector magnitudes using a seed growing region technique. Following the spatial segmentation of each frame, an intra-frame class-merging operation is performed. The...
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...