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.