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  • Active Contour Models

    Creator:
    Lee, Taein
    Abstract:
    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...
    Resource Type:
    Capstone Project
    Full Text:
    biomedical image processing such as X-ray, MRI and Ultrasound images. The energy-minimizing active

  • Comparison of the VARDIG algorithm on two parallel processors

    Creator:
    Roof, Becky Jane
    Abstract:
    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....
    Resource Type:
    Masters Thesis
    Full Text:
    these problems. Image processing is the specific problem chosen and parallel processing using the

  • Object Tracking-by-Segmentation in Videos

    Creator:
    Chen, Sheng
    Abstract:
    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,...
    Resource Type:
    Dissertation
    Full Text:
    one or more targets in the image sequence. This is a very challenging task as algorithms need to deal

  • Object highlighting : real-time boundary detection using a Bayesian network

    Creator:
    Jia, Jin
    Abstract:
    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...
    Resource Type:
    Masters Thesis
    Full Text:
    Boundary Detection using a Bayesian Network. Abstract Eric Mortensen image segmentation continues to be

  • Object detection in biological images using a search-based framework

    Creator:
    Lam, Michael
    Abstract:
    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...
    Resource Type:
    Masters Thesis
    Full Text:
    approaches developed to address other domains (e.g. natural scenes). An image may show more than one

  • Incorporating labeled features into image classification using generalized expectation

    Creator:
    Moore, Travis
    Abstract:
    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...
    Resource Type:
    Masters Thesis
    Full Text:
    Features into Image Classification using Generalized Expectation Abstract approved: Weng-Keen Wong

  • Annotation of image segments with ontologies (AISO)

    Creator:
    Lingutla Venkata, Nikhil Tej
    Abstract:
    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...
    Resource Type:
    Masters Thesis
    Full Text:
    segmentation helps to make seamless transition from dealing with low level image processing to higher and more

  • Hybrid visualization of asymmetric tensor fields : glyphs and hyperstreamlines

    Creator:
    Palke, Darrel
    Abstract:
    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...
    Resource Type:
    Masters Thesis
    Full Text:
    using an image space approach where the tensor field is projected to the image plane. This allows

  • Volume-volume matching

    Creator:
    Sandhu, Avneet
    Abstract:
    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...
    Resource Type:
    Masters Thesis
    Full Text:
    2D image domain. Image matching is one of the fundamental algorithms used in computer vision. The

  • Volume analysis and visualization

    Creator:
    Khare, Ankit
    Abstract:
    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...
    Resource Type:
    Masters Thesis
    Full Text:
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