关键词: 机器视觉, 口服液, 实时检测, 差分与累积, 自适应阈值处理

Abstract: In this paper, an automatic oral liquid light inspection algorithm is designed to implement the detection of particles in oral liquid. Second-difference and accumulate difference methods are used to remove the background information from the sequence images captured by a high-speed industry camera, and the target images with particles, air bubble and random noise are acquired. Adaptive threshold processing is used to extract moving targets. Real-time detection is completed by determining whether the size of particles, such as hair, fibers and so on, is larger than the pharmaceutical standards. A large number of experimental results show that the proposed algorithm is effective and feasible.

Key words: machine vision, oral liquid, real-time detection, difference and energy accumulation, adaptive threshold processing