桥梁裂痕检测与识别方法

Detection and recognition method for bridge fissure

桥梁裂痕图像检测过程中,采集的桥梁裂痕图像容易出现模糊,且桥梁裂痕本身具有裂痕特征不明显、杂质干扰大等特点,为了达到对桥梁裂痕准确、快速检测的目的,提出了一种桥梁混凝土结构裂痕病害的自动检测识别方法.首先对采集到的桥梁裂痕图像进行去模糊处理,在此基础上利用非负特征提取桥梁裂痕目标信息,然后利用方差特征去除特征结果图中的伪特征,并使用特征图像中目标特征象素的圆投影特征来增强目标裂痕信息,同时进一步去除虚假特征.分别对不同的桥梁裂痕图像进行了多种不同类型的处理实验,包括裂痕图像去模糊前后的目标裂缝检测结果对比实验,特征图像的方差特征去噪实验,以及圆投影进行特征目标特征增强同时进一步去噪的实验.结果表明,该方法对桥梁裂痕的提取与检测有效,有一定的实际意义.

The acquired image of bridge fissure is easy to be blurred,and the bridge fissure has the characters of non-remarkable fissure feature and excessive noise,during detecting bridge fissure.To detect the bridge fissure quickly and exactly,an automatic detection and recognition method for beton concrete girder bridge was proposed.First,the blur of the acquired bridge fissure image was removed,and the bridge fissure object information was extracted from the deblurred image by using the non-negative feature.Then false features were eliminated from the feature intensity image with the variance feature method.The circle projection method was used to enhance the object fissure information and to further eliminate the false feature.Different types of experiments are implemented on bridge fissure images,which include the fissure detection result comparison experiment before and after deblurring,the feature image denoising experiment using variance feature,the object information enhancement experiment using circle projection.The results demonstrate that the method proposed in this paper is effective for the bridge fissure extraction and detection.