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Detection And Localization Of Linear Features Based On Image Processing Methods, Sean Cormick Matz
Detection And Localization Of Linear Features Based On Image Processing Methods, Sean Cormick Matz
CGU Theses & Dissertations
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.