Infrared and Laser Engineering, Volume. 32, Issue 2, 163(2003)
Radon transform for line segment detection in low SNR image
Radon transform has important value in mathmatics theory, which can be used in algorithms for detecting linear features in an image. However, it has difficulty in detecting line segments in image, because Radon transform can not provide information about the positions of endpoints and the length. These problems become more serious when the transform is applied to an image with a high level of noise. The algorithm's suitability is discussed for linear feature detection in low SNR image, and this algorithm's advantages and drawbacks are analyzed. Then an accessional strategy based on information fusion is put forward to remedy the drawbacks. Aiming at low SNR image of airdrome's runway, the new algorithm reveals the preferable performance of speed and location.
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[in Chinese], [in Chinese], [in Chinese], [in Chinese]. Radon transform for line segment detection in low SNR image[J]. Infrared and Laser Engineering, 2003, 32(2): 163