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...
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...
The most abundant clone found in ribosomal RNA clone libraries obtained from the world's oceans belongs to the SAR11 phylogenetic group of environmental marine bacteria. Imaging and counting SAR11 bacterial cells in situ has been an important research objective for the past decade. This objective has been especially challenging due...
Product quality control is the back bone for an efficient process control system. By monitoring the size of the board cut in a sawmill, performance of the production system can be controlled. Feedback from the quality control system is used to evaluate the status of the production system and also...
Asymmetric tensor fields are useful for understanding fluid flow and solid deformation. They present new challenges, however, for traditional tensor field visualization techniques such as hyperstreamline placement and glyph packing. This is because the physical behavior of tensors inside real domains where eigenvalues are real is fundamentally different from the...
The operational processing of MODIS imagery to produce the MOD06 cloud product is based on the assumption that cloudy 1-km pixels are overcast. This assumption is examined using a partly cloudy pixel retrieval scheme, which allows for fractional cloud cover within the 1-km pixels. Cloud flags attached to 250-m MODIS...
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James A. Coakley, Jr.
The operational processing of MODIS imagery to produce the MOD06
Oftentimes in visualization, the goal of using volume datasets is not just to visualize them but also to analyze and compare them. In order to compare the two volumes, we cannot take all the voxels into consideration. The size of a typical volume data set is quite large (maybe a...
A recorded image is a degraded version of an original image.
The process of removing the degradations is called restoration. Two
types of degradations are considered in this thesis: namely, linear
motion and defocused lens blurrings. Using the direct deconvolution
technique to restore blurred images is impossible if the blurring...
3D datasets acquire great importance in the context of medical imaging. In this thesis we survey and enhance solutions to problems inherently associated with 3D datasets-processing time,noise and visualization. Efforts include development of a tool kit to provide a multi-threaded processing platform to cut processing time, produce real time visualization...
Algorithms for analyzing laser interferometry
signals were developed and adopted to the computer based
processing of small displacement measurements. These
methods, matrix operation approach and fixed parameters
approach, are based on signal phase calculation and are
able to replace complex fringe counting electronic
circuits. The matrix operation provides an approach...
The Focused Ion Beam (FIB) tool is a versatile instrument for nano-machining in
circuit editing. Circuit editing is one of the most important steps in the design of an
electronic circuit on a chip. Circuit editing can be improved by imaging of silicon
plates and analyzing the resultant images. However...
Anchoring systems are used to hold floating offshore devices (e.g., energy devices, oil platforms) to keep them on their stations. Anchors are embedded into the seabed soils. In some cases, the interface shear between anchor and seabed soils together with anchor self-weight provide the holding capacity of the anchoring systems....
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...
The quality of a digital image pipeline relies greatly on its color reproduction which should at a minimum handle the color constancy, and the final judgment of the excellence of the pipeline is made through subjective observations by humans.
This dissertation addresses a few topics surrounding the color processing of...
Coarse resolution imagery, such as that produced by the MODIS instrument, poses the challenge of estimating sub-pixel proportions of di erent land cover types. This problem is di cult because of the variety and variability of vegetation within individual pixels. This thesis describes and compares two existing algorithms for estimating...
Modern digital still cameras are equipped with just a single CCD for color image acquisition. Since only one spectral band can be recorded in each pixel, a mosaic of red, green and blue color filters is placed in front of the chip. The process of subsequently calculating a full color...
Most conventional approaches to rating turf color for different turf varieties grown
under similar conditions or for the same variety grown under different cultural conditions
employ a visual subjective rating. By digitizing remotely sensed images acquired by use
of a helium filled blimp and a Canon EOS camera, we were...
Population counts of aquatic insects are a valuable tool for monitoring the water quality of rivers and streams. However, the handling of samples in the lab for species identification is time consuming. An aquatic insect imaging device was designed as part of a system to automate aquatic insect classification and...
The main contributions of this thesis are the development and
application of four computationally efficient solutions for
least-squares-based (LS-based) minimum variance spectral estimation
(MVSE). They are: (1) fast computational solution for the 1-D
covariance LS-based MVSE, (2) fast computational solution for the
1-D modified covariance LS-based MVSE, (3) fast computational...
In this thesis, maximum likelihood Doppler frequency estimation and phase noise suppression algorithms for Orthogonal Frequency Division Multiplexing (OFDM) systems are presented. A novel handover decision algorithm for wireless systems, called predictive base station switching (PBSS), is also introduced.
The maximum Doppler Frequency is the ratio of the speed of...
This thesis discusses the hardware implementations of
certain linear and non-linear color space transforms thought
to be useful in the analysis of wood surfaces for defect
detection.
The developmental system's color image digitizer
contains 5 bits per color while the input signal contains
considerably greater resolution. This often degrades the...
Desktop widget engines have emerged as an alternative for completing simple tasks without the need for a full-blown application or constant user interaction. Widgets can simply display data in a compact and visually appealing manner (such as stock tickers, weather forecasts, and news notifications), or go so far as to...
This thesis investigates Dynamic Voltage Scaling (DVS) techniques to lower power consumption in video decoding. A DVS scheme called the Frame-data Computation Aware (FDCA) method has been presented. This method is adaptable not only to stored video applications but also to real-time video scenarios. Unlike DVS schemes for video decoding...
Automated recognition of object categories in images is a critical step for many real-world computer vision applications. Interest region detectors and region descriptors have been widely employed to tackle the variability of objects in pose, scale, lighting, texture, color, and so on. Different types of object recognition problems usually require...
Prehistoric rock art has intrigued and fascinated researchers from around the world for nearly 300 years. Having once been embraced for its cultural and scientific
uniqueness, the study of prehistoric rock art showed promise in being able to open new
doors of understanding, above and beyond the written record. In...
The purpose of this thesis is to explore methods which can reduce the power dissipation of a mobile system while decoding MPEG video. MPEG decoding is a microprocessor intensive process that makes heavy use of both the L1 and L2 caches as well as main memory. The heavy load placed...
Systems biology is becoming increasingly important for the study of living organisms. It focuses on the mathematical understanding of biological systems. Cells, the basic units of all living creatures, are biological systems of major interest. Considerable work is being done towards modeling cells as mathematical systems. At the same time,...
Image feature detection and matching are two critical processes for many computer vision tasks. Currently, intensity-based local interest region detectors and local feature-based matching methods are used widely in computer vision applications. But in some applications, such as biological object recognition tasks, within-class changes in pose, lighting, color, and texture...