CAJ | 학술논문

为了更加准确高效地识别路面裂缝,提出一种基于路面3D数据和双尺度聚类算法的路面裂缝检测技术.首先,使用中值滤波以及Otsu阈值分割算法对采集到的路面裂缝3D数据进行预处理,获得二值化的路面裂缝图像,在此基础上,将不规则的路面裂缝区域使用规则椭圆模型表征为裂缝基本单元,作为聚类基础.然后,使用双尺度准则函数从最优化中心距离以及角度偏差两个尺度上对基本裂缝单元进行聚类识别.最后借助杠杆原理确定聚类后裂缝中心点位置,使用最小外接椭圆表征聚类后的实际裂缝区域,并使用圆形度因子进行了路面裂缝类型判断,对网状裂缝进行了路面破损程度参数分析,为路面破损程度量化分析提供了参考因子.实际路面裂缝的实验表明,文中方法具有良好的路面裂缝检测精度.
위료경가준학고효지식별로면렬봉,제출일충기우로면3D수거화쌍척도취류산법적로면렬봉검측기술.수선,사용중치려파이급Otsu역치분할산법대채집도적로면렬봉3D수거진행예처리,획득이치화적로면렬봉도상,재차기출상,장불규칙적로면렬봉구역사용규칙타원모형표정위렬봉기본단원,작위취류기출.연후,사용쌍척도준칙함수종최우화중심거리이급각도편차량개척도상대기본렬봉단원진행취류식별.최후차조강간원리학정취류후렬봉중심점위치,사용최소외접타원표정취류후적실제렬봉구역,병사용원형도인자진행료로면렬봉류형판단,대망상렬봉진행료로면파손정도삼수분석,위로면파손정도양화분석제공료삼고인자.실제로면렬봉적실험표명,문중방법구유량호적로면렬봉검측정도.
In order to identify the pavement cracks more accurately and efficiently, a kind of two-scale clustering pavement crack recognition method is proposed based on 3D data.First, the 3D data of pavement cracks are pre-treated by means of the median filtering and the Otsu threshold segmentation algorithm, and the binary pavement crack images are thus obtained.Next, the irregular pavement crack area is characterized by a regular elliptical crack model as the basic unit, which represents a cluster basis.Then, the two-scale optimization criterion function is used to identify the basic units from the viewpoints of the distance and the angle deviation.Finally, the center of the final position of the cluster is determined based on the lever principle, and the area of the clustered cracks is characterized by using the minimum external ellipse of a complete crack.Moreover, the degree of circularity factors are adopted to judge the types of pavement cracks, and the parameters relevant to the damage extent of the road with reticular cracks are analyzed, which provides reference factors for the quantitative analysis of the road damage extent.The experimental results of the actual pavement cracks show that the proposed method is of a high degree of accuracy in detecting pavement cracks.