In order to solve the problem that evaluation result of classical unified crack index(UCI) pavement distress evaluation method based on image tile is unreasonable,a novel pavement image distress evaluation method based on weighted scheme was proposed.
为了解决经典的基于影像分块的统一破损指数评定方法(UCI方法)评定结果不合理的问题,提出了一种新的基于加权策略的路面影像破损评定方法。
参考来源 - 路面影像破损加权评定方法·2,447,543篇论文数据，部分数据来源于NoteExpress
This paper is focused on the study and implementation of auto-detecting of distresses in pavement image.
本文致力于路面图象病害自动检测算法的研究和实现。
When acquiring the pavement image, the acquired image is hard for image segmentation and recognition because of the noise and the nonuniform background illumination.
在获取路面图像中，由于背景光照不均匀以及存在着一些路面噪声，给后来的图像分割及识别带来了一些困难。
It is shown that the improved DBC approach can convert pavement image to one whose fractal dimension permits simple thresholding for segmentation of pavement cracks.
结果显示差分计盒方法可以将路面图像转换成另一种图像，该图像的分形维数可以把简单的阈值应用到路面裂缝的分割。
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