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在二值微粒图象中，微粒的形态是一封闭的连通区域，微粒检测其实就是连通域的检测。据此，文章提出了采用模拟实际视觉系统扩散行为的人工流体神经网络来实现微粒检测的新方法，并进行了计算机模拟仿真实验，结果证明该方法检测能力强、检测结果准确可靠。
In binary particle images, the morphology of the particles is a closed, connected area. Particle detection is actually the detection of connected domains. Based on this, the paper proposes a new method for particle detection using artificial fluid neural network that simulates the diffusion behavior of actual vision systems. Computer simulation simulation experiments are carried out. The results show that this method has strong detection capability and accurate and reliable detection results.