Date of Award
2020
Degree Type
Open Access Dissertation
Degree Name
Mathematics, PhD
Program
Institute of Mathematical Sciences
Advisor/Supervisor/Committee Chair
Marina Chugunova
Dissertation or Thesis Committee Member
John Angus
Dissertation or Thesis Committee Member
Ali Nadim
Terms of Use & License Information
Rights Information
© 2020 Sean C Matz
Keywords
Filtered Images, Fourier Slice Theorem, Fourier Transform, Image Processing, Orientation Detection, Radon Transform
Subject Categories
Mathematics
Abstract
In this work, the general problem of the detection of features in images is considered. One of the methods, the orientation detection of lines, utilized the Radon transform (sinogram) of an image to detect lines at different angles in an image. The line thickness algorithm was generated by finding a pattern formed by particular lines in an image. The filtering of reconstructed images dealt with the removal of blur and other artifacts that arose in the course of inverting the Radon transform of an image to attempt to obtain the original image.
ISBN
9798645446246
Recommended Citation
Matz, Sean Cormick. (2020). Detection and Localization of Linear Features Based on Image Processing Methods. CGU Theses & Dissertations, 632. https://scholarship.claremont.edu/cgu_etd/632.
