Abstract: Aimed at using forklift transporting goods into the test cell in the test park, a test cell entrance detection and recognition method based on machine vision is proposed. Using edge detection and Hough line detection algorithm, screening and optimization are carried out according to the characteristics of the detection targets. The function of detecting and recognizing test cell entrance is realized, which is of certain engineering value for the development of intelligent forklift auxiliary system.

Key words: Image preprocessing; Edge detection; Hough line detection; Machine vision; Slope of target line; Length of target line

摘要： 针对试验园区内叉车运送货物进试验间场景，提出一种基于机器视觉的试验间入口检 测识别方法，利用边缘检测和 Hough 直线检测算法，结合检测目标特点进行筛选优化，实现 了园区内试验间入口检测识别功能，对于开发智能叉车辅助系统有一定的工程意义。

关键词: 图像预处理；边缘检测；Hough 直线检测；机器视觉；目标直线斜率；目标直线长度