The morphology of fault scarps may preserve significant information about earthquakes. However,the selected fault scarps in previous studies were mostly located in standard to nearly standard terraces. In reality,however,the geomorphology along the fault is complex,so that we should find the more appropriate means to analyze the morphological characteristics of fault scarps. In this study,the fault scarps are divided into three types according to their morphology. Based on 0.2m-resolution DEM generated by LiDAR technology,different fault scarp types of 8 experimental areas were studied,in which over 20 topographic profiles are collected in each experimental area. The optimal sliding window size is determined with 7 pixels determined by window inspection and the slope of every profile is calculated. The scarp range is determined through slope constraint. Then we recognized the breaks in slope to determine the position of slope breaks. After calculating the probability density of slope breaks in each experimental area,we determine the number of strong earthquakes from its peak quantity. The results of our fault scarp morphology study are in good agreement with the paleo-earthquake study previously reported in the study area,which indicates that the micro-geomorphology quantitative analysis of fault scarp in this study is applicable to determine the number of strong paleo-earthquakes from different types of fault scarps.