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...
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,...
The purpose of this thesis is to apply the wavelet transform WT to
multiresolution structures for analyzing the information content of images based on
multiresolution signal decomposition of the wavelet representation. The advantage
of the wavelet transform is the fact that it uses different building blocks than the
Fourier's sines...
This thesis presents an algorithm that estimates motion in image sequence using wavelet transform. The motion detection is performed under unfavorable conditions of background movement, change of brightness, and noise. The algorithm is tolerant to brightness changes, noise, and small movement in the background. The false alarm rate of motion...
The problem of the restoration of quadratically
distorted images is considered in this investigation, based
upon the fact that images formed by partially coherent
illuminations are related quadratically to the amplitude of
the object. Two of the most important problems in image
restoration are: 1) determining the degradation
characteristics of...
Active contour models have been widely applied to image segmentation and
analysis. It has been successfully used in contour detection for object recognition,
computer vision, computer graphics, and biomedical image processing such as X-ray,
MRI and Ultrasound images.
The energy-minimizing active contour models or snakes were developed by Kass,
Witkin...
Networks of on-line modules for Digital Signal Processing (DSP) applications have been designed and analyzed in many papers. Various arguments have been made for on-line arithmetic over other bit-serial and parallel approaches. However, the majority, if not all of the on-line network implementations presented throughout the literature do not take...
We developed an integration-based line detection algorithm. Existing line detection methods such as the Hough Transformation (HT) and its variants are insensitive to image noise. The reason is that HT finds lines by calculating the gradient of the image and assumes that the region where the gradient is the steepest...
- Collagen fibers are found in 25% of the whole body
protein content. They are highly adhesive to cells and
can be used as scaffold proteins that can promote cell
growth and be used to capture cells.
- In our lab, we use collagen to capture cancer cells in
order...
The specific objectives of this project are to compare the
Sequent and the transputer to determine the speed of both
and find out which is easiest for programming in parallel.
The results are graphs showing relative and real time
speedup versus number of processors and conclusions based
on those graphs....
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...
This thesis focuses on the problem of object tracking. Given a video, the general objective of tracking is to track the location over time of one or more targets in the image sequence. This is a very challenging task as algorithms need to deal with problems such as appearance variations,...
Image segmentation continues to be a fundamental problem in computer vision and image understanding. In this thesis, we present a Bayesian network that we use for object boundary detection in which the MPE (most probable explanation) before any evidence can produce multiple non-overlapping, non-self-intersecting closed contours and the MPE with...
This publication consists of a rule set for benthic habitat classification implemented in eCognition (Trimble Navigation Limited). The details of the procedure are described in Parrish et al., 2016: http://www.jcronline.org/doi/abs/10.2112/SI76-017. The input to the classification consists of high-resolution true color orthophotos, seafloor DEMs from topobathymetric lidar, and gridded lidar reflectance...
This thesis addresses a basic problem in computer vision, that of semantic labeling of images. Our work is aimed at object detection in biological images for evolutionary biology research. In particular, our goal is to detect nematocysts in Scanning Electron Microscope (SEM) images. This biological domain presents challenges for existing...
Image classification is a difficult problem, often requiring large training sets to get satisfactory results. However this is a task that humans perform very well, and incorporating user feedback into these learning algorithms could help reduce the dependency on large amounts of labeled training data. This process has already been...
This M.S thesis presents an interactive software tool that I have developed in the course of the past two years. This interactive tool is called AISO. AISO is aimed at interactive image segmentation and annotation tool designed to allow users to segment an image – such as those produced with...
Machine Vision has been extensively applied in industry.
This thesis project, which originated with a local food
processor, applies a vision system to inspection of packages
for cosmetric errors. The basic elements and theory of the
machine vision system are introduced, and some image
processing techniques, such as histogram analysis,...
An extremely important area that has enabled or will enable many of the
digital video services and applications such as VideoCD, DVD, DVC, HDTV, video
conferencing, and DSS is digital video compression. The great success of digital video
compression is mainly because of two factors. The state of the art...