Research on Concrete Beam Crack Recognition Algorithm Based on Block Threshold Value Image Processing
作者机构：School of HighwayChang'an UniversityXi'an710064China Iner Mongolia Transport Construction Engineering Quality Supervision BureauHohhot010020China Jiangsu Fasten Matenial Analysis and Inspecting CoLtdJiangyin214446China School of Civil EngineeringSoutheast UniversityNanjing210000China
出 版 物：《Structural Durability & Health Monitoring》 (结构耐久性与健康监测（英文）)
年 卷 期：2020年第14卷第4期
页 面：355-374页
核心收录：
学科分类：08[工学] 0813[工学-建筑学] 0814[工学-土木工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
主 题：Concrete crack block segmentation maximum entropy segmentation algorithms maximum interclass variance(Otsu)method
摘 要：To solve the problem that the digital image recognition accuracy of concrete structure cracks is not high under the condition of uneven ill umination and complex surface color of concrete structure,this paper has proposed a block segmentation method of maximum entropy threshold based on the digital image data obtained by the ACTIS automatic detection *** steps in this research are as follows:*** crack digital images of concrete specimens with typical fea-tures were collected by using the Actis system of KURABO Co,Ltd,of Japan in the concrete beam bending *** images are segmented into blocks to dis-tinguish backgrounds of different *** max imum interclass average gray difference method is used to distinguish the sub-blocks and screen out the image blocks that need to be *** is made to the image with 2D max imum entropy threshold segmentation method to obtain the binary image,and the target image can be obtained by screening the connected domain features of the binary *** have shown that compared with other algo-rithms,the proposed method can effectively decrease the image over-segmentation and under segmentation rates,highlight the characteristics of the target cracks,solve the problems of excessive difference between the identified length and actual length of cracks caused by background gray level change and uneven ilumnination,and effectively improve the recognition accuracy of bridge concrete cracks.
维普期刊数据库