The segmentation of motive impurity in liquid plays a key role in automatic detecting system. A fuzzy adaptive threshold segmentation algorithm of visual impurity in liquid based on spatial block variance and its gradient was proposed At first,the two difference images were partitioned into 5×5 blocks,and then the product of the homologous block variance and its gradient of the two difference image were chosen as the block feature. After that, an adaptive threshold was used to segment the image. To be adapted to the change of the block grey value, a fuzzy inference method was adopted to adjust the threshold adaptively according to the block variance and it s gradient The experimental and factual testing results show that the proposed algorithm can meet the demands of visual impurity in liquid in real-time detecting,and that it is a practicable and effective image segmentation method.%允动异物分割是实现液剂可见异物自动检测的关键.提出一种基于帧差图空间方差和方差梯度的液剂异物模糊自适应阈值分割算法.首先将2幅帧差图分为5×5的块,计算2幅帧差图对应块间的空间方差和方差梯度,并以两者的乘积构成新特征图；然后使用自适应阈值完成运动异物的分割,为使阈值能够跟随块灰度变化,阈值的调整采用模糊推理,依据方差和方差梯度变化自适应实现.实验及实际测试结果表明,所提算法能够满足低对比度和局部光照变化的液剂异物实时检测要求,是一种实用有效的图像分割方法.
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