An Automatic Detecting Algorithm of Impurity in Medicinal Liquid Based on Fuzzy Adaptive Threshold

The effective segmentation of moving impurity in medicinal liquid plays a key role in automatic detection. An adaptive threshold segmentation algorithm of visual impurity in medicinal liquid based on fuzzy logic algorithm is proposed. At first, the grey difference image acquired from 5 continuous frames is partitioned into 5×5 blocks, and then the mean, variance and fourth-order statistics of the block are computed as the block feature. After that, an adaptive threshold is used to segment the image and automatically separate the moving impurity from background. To be adapted to the change of the block grey value, a fuzzy logic controller is adopted to adjust the threshold adaptively according to the block variance and mean. The experimental and factual testing results show that the proposed algorithm can meet the demands of impurity in medicinal liquid in real-time detecting, and that it is a practicable and effective image segmentation method.