Abstract:In this paper, we propose to accurately detect from an image curvilinear features that can be approximated by polynomial curves. Having the a priori knowledge of a polynomial parameters (coefficients and degree), we give the possibility to recognize both the orientation and the position of the polynomial (if it exists) in the given image. For this objective, we present a new approach titled "The Finite Polynomial Discrete Radon Transform" (FPDRT) that maps the initial image into a Radon space where each point … Show more
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