检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:谢君利 郭魏源 张春生[2] XIE Jun-li;GUO Wei-yuan;ZHANG Chun-sheng(School of Applied Technology,Huanghe S&T University,Jiyuan Henan 459000,China;School of Civil Engineering,Henan Polytechnic University,School of Civil Engineering,Jiaozuo Henan 454003,China)
机构地区:[1]黄河科技学院应用技术学院,河南济源459000 [2]河南理工大学土木工程学院,河南焦作454003
出 处:《计算机仿真》2023年第9期115-119,共5页Computer Simulation
基 金:济源市科技攻关项目(20022002)。
摘 要:钢桥桥面颗粒纹理及自然环境等外界因素,严重影响了对细小裂缝的识别,为了能够有效解决以上问题,提出钢桥桥面图像细小裂缝最优化动态识别方法。通过Mask匀光法和灰度级腐蚀法预处理钢桥桥面图像,利用模糊C均值聚类算法粗提取钢桥桥面图像中的细小裂缝,采用非线性中值滤波、Sobel算子和Otsu法改进Canny算子,提取细小裂缝边缘。引入区域生长法识别细小裂缝,采用形态学方法去除细小裂缝图像毛刺和空洞,依据像素位置信息拼接细小裂缝,分析、识别不断更新的钢桥桥面图像,实现钢桥桥面图像细小裂缝最优化动态识别。实验结果表明,所提方法的裂缝识别准确性高、平均绝对误差在0.015以下、且运行时间在0.5s以内。Some external factors such as particle texture and natural environment on the deck of steel bridge seriously affect the recognition for small cracks.In order to effectively solve this problem,an optimized dynamic identification method for small cracks on the deck of steel bridge was proposed.First of all,the image of steel bridge deck was preprocessed by Mask dodging algorithm and gray-scale corrosion method.Then,fine cracks in the image of steel bridge deck were roughly extracted by fuzzy C-means clustering algorithm.Moreover,Canny operator was improved by using the nonlinear median filter,Sobel operator and Otsu method.Meanwhile,the edge of fine crack was extracted.After that,the regional growth method was adopted to identify the small cracks,and the morphological method was used to remove the burrs and cavities in the image.Furthermore,the small cracks were spliced according to the position information of pixel.Finally,the constantly updated steel bridge deck image was analyzed and recognized,thus achieving the optimal dynamic identification for small cracks in the image of steel bridge deck.Experimental results prove that the proposed method has high accuracy in crack identification.Meanwhile,the mean absolute error is less than 0.015,and the running time is less than 0.5s.
关 键 词:钢桥桥面 细小裂缝 动态识别 模糊均值聚类算法 区域生长法
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.229