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METHOD FOR EXTRACTING SURFACE CRACKS OF PAVED ROAD AND EVALUATING SURFACE DAMAGE LEVEL OF PAVED ROAD

机译:提取铺装道路表面裂缝和评估铺装道路表面损伤程度的方法

摘要

PROBLEM TO BE SOLVED: To solve a problem that the photographed images of spots are carried back to an inspection station in the detection of cracks of a paved road to be analyzed and evaluated using an analyzing device but quantities of the processed images are large in the detection of the cracks of a road of which the total length reaches a several-hundred kilometer or longer and unsuitable for man-power work, and since evaluation also relies the subjective determination by the experience of a technical person, it is impossible to subjectively and accurately perform the analysis and evaluation of the cracks of the paved road.;SOLUTION: In this method for extracting the surface cracks of the paved road and evaluating the damage level of the paved road, size-dependent crossing is introduced into a parallel image filter automatic forming system by genetic programming to select and employ places considered to be difficult in the extraction of the crack (1) from a plurality of actual pavement images in the training data of filter construction to thereby automatically construct the extraction image filter (4) of the crack from images of various of types. Then, the extraction image filter (4) is adapted to the individual blocks (6) formed by dividing the whole image of a pavement region to be evaluated in a lattice shape to perform the evaluation of the same.;COPYRIGHT: (C)2011,JPO&INPIT
机译:解决的问题:为了解决以下问题:在使用分析装置检测要分析和评估的铺装道路的裂缝时,斑点的图像被传送回检查站,但是在处理过程中图像的处理量很大。检测总长度达到数百公里或更长且不适合人力工作的道路裂缝,并且由于评估还依赖于技术人员的经验进行主观确定,因此不可能主观地解决方案:在提取路面的表面裂缝并评估路面损坏程度的方法中,将与尺寸有关的交叉点引入并行图像过滤器中通过遗传编程的自动成型系统,以选择和使用在从多个实际铺路中提取裂纹(1)时被认为困难的位置在过滤器构造的训练数据中处理图像,从而自动从各种类型的图像构造裂缝的提取图像过滤器(4)。然后,将提取图像滤镜(4)适配到通过将要评估的路面区域的整个图像划分为格子形状而形成的各个块(6)进行评估; COPYRIGHT:(C)2011 ,JPO&INPIT

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