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Measurement of particle size based on digital imaging technique

ISSN号：1001-6058
期刊名称：Journal of Hydrodynamics
时间：2013.4
页码：242-248
分类：TB383[一般工业技术—材料科学与工程] TP391.41[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
作者机构：[1]State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
相关基金：Project supported by the National Key Basic Research and Development of China （973 Program, Grant No. 2011CB403303）, the China National Funds for Distinguished Young Scientists （Grant No. 51125034） and the National Natural Science Foundation of China （Grant Nos. 50909036, 50879019）.
相关项目：水沙运动过程及模拟

作者： Tang Hong-wu|Liu Yun|Wang Hao|Liu Gui-ping|

关键词：颗粒尺寸, 图像测量, 数字成像技术, 基础, 颗粒大小分布, 电荷耦合器件, 图像分析方法, 提取算法, particle size, extraction algorithm of optimal threshold, equivalent circle transformation

中文摘要：

To improve the analysis methods for the measurement of the sediment particle sizes with a wide distribution and of irregu- lar shapes, a sediment particle image measurement, an analysis system, and an extraction algorithm of the optimal threshold based on the gray histogram peak values are proposed. Recording the pixels of the sediment particles by labeling them, the algorithm can effe- ctively separate the sediment particle images from the background images using the equivalent pixel circles with the same diameters to represent the sediment particles. Compared with the laser analyzer for the case of blue plastic sands, the measurement results of the system are shown to be reasonably similar. The errors are mainly due to the small size of the particles and the limitation of the apparatus. The measurement accuracy can be improved by increasing the Charge-Coupled Devices (CCD) camera resolution. The analysis method of the sediment particle images can provide a technical support for the rapid measurement of the sediment particle size and its distribution.

英文摘要：

To improve the analysis methods for the measurement of the sediment particle sizes with a wide distribution and of irregular shapes, a sediment particle image measurement, an analysis system, and an extraction algorithm of the optimal threshold based on the gray histogram peak values are proposed. Recording the pixels of the sediment particles by labeling them, the algorithm can effectively separate the sediment particle images from the background images using the equivalent pixel circles with the same diameters to represent the sediment particles. Compared with the laser analyzer for the case of blue plastic sands, the measurement results of the system are shown to be reasonably similar. The errors are mainly due to the small size of the particles and the limitation of the apparatus. The measurement accuracy can be improved by increasing the Charge-Coupled Devices （CCD） camera resolution. The analysis method of the sediment particle images can provide a technical support for the rapid measurement of the sediment particle size and its distribution.

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