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Filtering by: Subject Image processing -- Mathematics Remove constraint Subject: Image processing -- Mathematics Decade 2010-2019 Remove constraint Decade: 2010-2019

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  • A Novel method to detecting lines on an image with high noise density

    Creator:
    Lin, Daniel
    Abstract:
    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...
    Resource Type:
    Presentation
    Full Text:
    Then, we use image processing to identify the fibers on the captured image to study how they’re

  • A Novel Approach to Line Detection using Image Integration Method

    Creator:
    Lin, Daniel and Sun, Bo
    Abstract:
    - 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...
    Resource Type:
    Poster
    Full Text:
    an Artificial Image

  • 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

  • Benthic Habitat Mapping: eCognition Rule Set

    Creator:
    O’Neil-Dunne, Jarlath P. M., Parrish, Christopher E., and Dijkstra, Jennifer A.
    Abstract:
    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...
    Resource Type:
    Dataset

  • 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

  • Pattern discovery in noisy images

    Creator:
    Dhamodaran, Sharath Kumar
    Abstract:
    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...
    Resource Type:
    Masters Thesis

  • Numerical Simulations and Microscale Analyses of Offshore Anchor-Granular Material Systems

    Creator:
    Zhang, Nan
    Abstract:
    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....
    Resource Type:
    Dissertation
    Full Text:
    the anchor-soil responses. The discrete element method (DEM) and digital image processing (DIP) can