针对水下涵洞降质图像存在裂缝被非均匀悬浮颗粒遮挡的问题,提出了一种基于增强色调特征的涵洞裂缝缺陷分割算法。该算法增强对色彩高敏感的色调特征,并以此为基础对图像进行粗分割。针对涵洞壁凹陷等干扰图像分割结果的问题,在空域上对粗分割结果进行约束,以连通区域为局部单元,对其进行区域特征约束以滤除干扰,完成分割。实验结果表明,该算法能有效地分割被干扰的裂缝缺陷。

Non-uniform suspended particles block the cracks of the underwater culverts. Therefore, we propose a culvert crack defect segmentation algorithm based on enhanced hue features in this study. The color-sensitive hue features can be enhanced using the proposed algorithm; this forms the basis for performing rough image segmentation. The rough segmentation result is considered in the spatial domain to avoid the interference of the culvert wall depression in the image segmentation results. The connected region is used as the local unit, and the region feature is used to filter the interference and complete the segmentation. The experimental results prove that the cracked defects can be effectively segmented using the proposed algorithm.