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27 April 2020 Using partial stages of Radon transform to detect non straight edges (Conference Presentation)
Javier Martin-Hernandez, Ángela Hernández Delgado, Ricardo Oliva-García, Oscar Gomez-Cardenes, José Gil Marichal-Hernandez
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Proceedings Volume 11400, Pattern Recognition and Tracking XXXI; 1140004 (2020) https://doi.org/10.1117/12.2557265
Event: SPIE Defense + Commercial Sensing, 2020, Online Only
Abstract
Radon transform, and more specifically the multiscale Discrete Radon Transform, is a valuable tool to find straight structures on images. But the straight lines that DRT finds are those traversing completely the image, and hence DRT is unable to detect non-straight structures. That limitation is normally adressed by evaluating Radon transform on non-overlapped subsquares of the image. In this work we will show that the initial partial transform stages of multiscale DRT contain enough information to detect non-straight edges. By stopping on initial stages of an already linearithmic transform that can be executed on integer arithmethics, the proposed method is found to be much faster than its alternatives. We will show its ability to process images at video acquisition rate on mobile phones.
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Javier Martin-Hernandez, Ángela Hernández Delgado, Ricardo Oliva-García, Oscar Gomez-Cardenes, and José Gil Marichal-Hernandez "Using partial stages of Radon transform to detect non straight edges (Conference Presentation)", Proc. SPIE 11400, Pattern Recognition and Tracking XXXI, 1140004 (27 April 2020); https://doi.org/10.1117/12.2557265
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KEYWORDS
Radon transform
Edge detection
Radon
Transform theory
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