CAJ | 학술논문

裂缝是隧道衬砌最常见的病害之一,基于近几年快速发展的工程检测系统与图像处理算法的研究,提出基于 CCD 相机的衬砌裂缝检测系统来采集裂缝图像。通过比较均值滤波、中值滤波、维纳滤波、自适应中值滤波和加权邻域滤波比较,选择自适应中值滤波进行图像增强。结合直方图阈值分割法、Otsu 最大类间方差阈值和局部阈值分割法,对增强后图像进行二值化处理比较,Otsu 法较好地保留了裂缝的边缘信息,证明了该算法的有效性,为后续裂缝信息的提取奠定了基础。
렬봉시수도츤체최상견적병해지일,기우근궤년쾌속발전적공정검측계통여도상처리산법적연구,제출기우 CCD 상궤적츤체렬봉검측계통래채집렬봉도상。통과비교균치려파、중치려파、유납려파、자괄응중치려파화가권린역려파비교,선택자괄응중치려파진행도상증강。결합직방도역치분할법、Otsu 최대류간방차역치화국부역치분할법,대증강후도상진행이치화처리비교,Otsu 법교호지보류료렬봉적변연신식,증명료해산법적유효성,위후속렬봉신식적제취전정료기출。
Cracks are one of the most common defects of the tunnel engineering. With rapid development of detection systems and image processing algorithms in recent years, a rapid lining inspection system based on CCD is proposed for image acquisition. By comparing the mean filter, median filter, Wiener filter, adaptive median filter and the algorithm of neighborhood weighted averaging, the author selects adaptive median filter for image enhancement. In combination with histogram threshold method, maximum between-cluster variance (Otsu) and local threshold segmentation to binarize and compare the enhanced images, the Otsu method better preserves the information about the edge of cracks, demonstrates the effectiveness of the algorithm, and lays a foundation for the extraction of further information about cracks.