摘要
传统基于摄像的桥梁裂缝识别,存在实时性与准确性的矛盾。结合桥梁病害图的颜色和纹理特征,利用图像质量评价方法,提出一种基于二阶矩与灰度差分的桥梁裂缝安全评价方法。选择桥梁质量较好时的图像组成参考图像,间隔采样建立评价图像序列。提出基于颜色矩与灰度差分的桥梁裂缝安全评价算法。通过颜色与纹理在HSV颜色空间的安全评价函数,计算评价图像与参考图像之间的相关程度,获得评价参数序列。评价参数大于阈值时,说明图像上存在显著变化,提示人工检测。实验在6组桥梁裂缝图上进行,数据表明,评价结果与算子提取的病害程度一致,同时在裂缝识别上优于峰值信噪比等方法。
The traditional recognition of bridge cracks based on camera has the contradiction between real-time and accuracy.Combining the color and texture features of bridge disease maps,this paper proposed a safety assessment method of bridge crack based on second-order moment and gray difference by using image quality assessment method.The images with better quality of bridge were artificial selected as reference image,and the sampling interval was used to form evaluation image sequence.We proposed a bridge crack safety evaluation algorithm based on color moment and gray difference.Through the safety evaluation function of color and texture in HSV color space,the correlation degree between the evaluation image and reference image was calculated,and the evaluation parameter sequence was obtained.When the evaluation parameters were larger than the threshold value,there are significant changes in the image,suggesting manual detection.The experiment was carried out on six groups of bridge crack maps.The data show that the evaluation results are consistent with the disease degree extracted by operator,and are superior to peak signal to noise ratio in crack identification.
作者
李娜
许元飞
贾澎涛
Li Na;Xu Yuanfei;Jia Pengtao(College of Computer Science and Technology,Xi’an University of Science and Technology,Xi’an 710054,Shaanxi,China)
出处
《计算机应用与软件》
北大核心
2019年第5期216-219,230,共5页
Computer Applications and Software
基金
西安市科技计划项目(2017079CG/RC042 XAKD001)
西安科技大学科研培育基金项目(201744)
西安科技大学博士启动金项目(6310116057)
关键词
图像质量评价
二阶矩
灰度差分
桥梁裂缝
峰值信噪比
Image quality evaluation
Second-order moment
Gray difference
Bridge cracks
Peak signal to noise ratio
