针对基于整体相关的图像动态光散射法(IDLS)测量颗粒粒径分布(PSD)问题，研究了全局搜索(GS)算法反演颗粒粒径分布，对峰值为79 nm、多分布指数(PDI)为10%的单峰颗粒系和峰值分别为79 nm与352 nm、多分布指数均为10%的双峰颗粒系进行了反演数值仿真，结果表明全局搜索算法能较好地反演出颗粒粒径分布情况。以此为基础，对峰值为79 nm的单峰分布颗粒系，峰值为79 nm和352 nm、79 nm和482 nm的两组双峰分布颗粒系进行了实验测量及算法对比研究，结果表明在单峰分布颗粒系下，相对于累积量法，全局搜索算法反演效果较好；在双峰分布颗粒系下，全局搜索算法与双指数法反演结果基本一致。由此可知，对于图像动态光散射颗粒粒径分布测量方法，全局搜索算法能够有效地反演出单峰分布和双峰分布颗粒系的颗粒粒径分布，是反演多分散颗粒系的一种有效方法。

An inversion algorithm based on the global search (GS) is proposed for the inversion of particle size distribution (PSD) from image dynamic light scattering (IDLS) data by image correlation. The inversion for unimodal particles and bimodal particles is simulated. The peak value and particle distribution index (PDI) of unimodal particles are 79 nm and 10%, respectively. The peak values of bimodal particles are 79 nm and 352 nm with PDI of 10%. It is shown that GS inverts PSD for IDLS data successfully. Based on the simulation, the experimental inversion of unimodal particles with peak value of 79 nm and bimodal particles with peak values of 79 nm and 352 nm, 79 nm and 482 nm is performed. Compared with the cumulants method for unimodal particles and the double exponential method for bimodal particles, GS algorithm can invert PSDs of unimodal and bimodal particles successfully, which indicates that GS is an effective inversion algorithm.