Detection and Localization of Linear Features Based on Image Processing Methods

<p>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.</p>

Name thesis:degree_name

Mathematics, PhD

Level thesis:degree_level

Open Access Dissertation

Discipline thesis:degree_discipline

Institute of Mathematical Sciences

Year dc:date.available

2020

Author dc:creator

• Matz, Sean Cormick

Contributors dc:contributor

• John Angus
• Ali Nadim

• Filtered Images
• Fourier Slice Theorem
• Fourier Transform
• Image Processing
• Orientation Detection
• Radon Transform
• Mathematics

Repository record dc:identifier

https://scholarship.claremont.edu/cgu_etd/632

OAI identifier oai:identifier

oai:scholarship.claremont.edu:cgu_etd-1654