为解决裂隙灯转鼓装校时人眼对转鼓图像中的十字叉丝的中心距离计算存在的不确定性问题，提出一种基于改进的概率Hough变换的转鼓数字化装校技术。通过对原图像预处理、改进概率Hough直线检测、制定直线交点筛选规则，实现了高精度的转鼓图像十字叉丝直线检测和叉丝中心距离计算。实验表明，改进的概率Hough变换能够准确地检测图像中的十字叉丝，并将多余直线100%拟合成4条直线；利用交点筛选规则可以准确筛选出2个有效交点。该装校技术能够实现转鼓数字化装校，以数字信息来提示工人转鼓装校优劣，且能够满足转鼓生产线上的实际需求。

In order to solve the problem that when installing the slit lamp in the rotary drum, the human eye has an uncertainty of calculating the center distance of the cross-hair in the drum image, a digital adjustment technique based on the improved probabilistic Hough transform was proposed. By preprocessing the original image, improving the probability Hough line detection, and formulating the line intersection screening rules, the high-precision drum image cross-hair straight line detection and cross-hair center distance calculation were realized. Experiments show that the improved probability Hough transform can accurately detect the crosshairs in the image and fit the excess straight line 100% into 4 straight lines; and the intersection point screening rule can be used to accurately screen out 2 effective intersection points. The adjustment technology can realize digital assembly of rotary drum and the digital information can be used to remind the workers of the adjustment of drums better or, which can meet the actual needs of the drum production line.