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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

  • 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