Abstract
Two algorithms were developed to detect linear or quasi-linear feature in images, one using the windowed Radon transform, and the other using the Hough transfrom. Two images from different types of sensors and with different features were processed using the two algorithms, and the results are compared with each other. The algorithm of the Radon transform yielded a reasonable noise reduction, and retained the major linear features. While using the Hough transform, linear feature plots containing different sets of line segments by taking different combinations of thresholds can be obtained.
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