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首页> 外文期刊>Journal of algorithms & computational technology >Algorithm on Contourlet Domain in Detection of Road Cracks for Pavement Images
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Algorithm on Contourlet Domain in Detection of Road Cracks for Pavement Images

机译:路面图像道路裂缝检测的Contourlet域算法

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摘要

In this paper we present a detection algorithm of road cracks in several directions and each layer for pavement images in contourlet domain. Firstly, a pavement image is converted to a grey-scale image which is decomposed by using contourlet transform. Then directionality and anisotropy are used to enhance the singular characteristic of the image by expanding all scale detail coefficients to the same size and combining the coefficients. The new approach avoids unreasonable evaluation result of classical unified crack index pavement distress evaluation method based on image tile. Experimental results show that the algorithm proposed in this paper can detect pavement cracks effectively which is not affected by noise.
机译:在本文中,我们提出了轮廓波域中路面图像在多个方向和每一层的道路裂缝检测算法。首先,通过使用轮廓波变换将路面图像转换为灰度图像。然后,通过将所有比例尺细节系数扩展到相同的大小并组合这些系数,可以使用方向性和各向异性来增强图像的奇异特性。新方法避免了基于图像图块的经典统一裂缝指数路面病害评价方法的不合理评价结果。实验结果表明,本文提出的算法可以有效地检测出不受噪声影响的路面裂缝。

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