Radon变换在低信噪比图像中的线段检测

Radon变换在数学理论上有重要价值,并可用于图像直线特征的提取,但是在检测线段时,Radon变换无法提供线段的端点以及长度信息,低信噪比时检测难度加大。探讨了Radon变换在低信噪比图像特征检测的适用性,分析了Radon变换的优势与不足,并从信息融合的角度出发,提出了Radon变换补充的应用策略,对低信噪比的机场跑道图像进行了验证,显示出较好的检测效果。

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.