为准确量化碎石封层集料剥落程度，克服传统脱石法和图像法因忽视碎石粒形与嵌固姿态导致对剥落程度模糊评价的问题，采用室内三维激光检测设备采集碎石封层剥落前后点云数据，引入大津法中最小类内方差概念求取高程分割阈值，进而提取空间剥落轮廓，实现剥落面积指标的计算并提供了激光法测算剥落面积的误差分布，复位了逐颗剥落集料，进而对比了每个剥落区域的脱石质量和剥落面积指标，最后采用集料图像测量系统AIMS-Ⅱ分析剥落集料的粒形特征。结果表明：统计了共计75个剥落面积样本的相对误差，均值为4.07%，表明激光法具有良好的检测精度；同时剥落面积计算标准差位于1.73~3.89，表明激光法具有良好的检测稳定性；对比了逐个剥落区域的剥落集料质量与剥落面积，随着剥落面积增大，剥落颗粒的质量具有随之增大的趋势，然而剥落面积与剥落颗粒质量并非同步增大，存在剥落面积增大但质量减小的现象；通过AIMS-Ⅱ对剥落颗粒的粒形分析表明片状集料更可能出现质量小但剥落面积大的情况，而针状集料更可能出现质量大但剥落面积小的情况。

In order to accurately quantify aggregate loss in chip seals and address the limitations of traditional methods that overlook the shape and orientation of chip seals, this study utilized indoor 3D laser scanning equipment to capture point cloud data of chip seals before and after stripping. By introducing the minimum intra-class variance, the elevation segmentation threshold was determined, allowing for the spatial stripping contours. This enables the calculation of stripping area indicators and provides the error distribution of the laser method for measu-ring stripping areas. Individual stripped aggregates were reassembled, and the stripping mass and stripping area indicators for each stripped region were compared. Additionally, the AIMS-Ⅱ system was employed to examine the shape characteristics of the spalling aggregates. The results demonstrated the mean relative error for 75 stripping area samples was 4.07%, indicating high detection accuracy. The standard deviation of the spalling area calculation ranged from 1.73 to 3.89, confirming the good detection stability. A comparison of the mass loss and spalling area of each spalling region revealed a general trend of increasing mass loss with increasing spalling area; however, discrepancies were observed where increased spalling area corresponded to decreased mass loss. Shape analysis using AIMS-II indicated that flaky aggregates tend to have large spalling areas but small masses, whereas needle-like aggregates typically have large mass loss but small spalling areas.