Particle measurement by image processing and analysis

被引:1
|
作者
Wang, Weixing [1 ]
Luo, Wang [2 ,3 ]
Tang, Jun [4 ]
机构
[1] Univ Elect Sci & Technol China, Sch Elect Engn, Chengdu, Peoples R China
[2] Univ Elect Sci & Technol China, Chengdu, Peoples R China
[3] Jinggangshan Univ, Jian, Jiangxi, Peoples R China
[4] Southwest Inst Elect Technol, Chengdu, Peoples R China
来源
2006 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY, PTS 1 AND 2, PROCEEDINGS | 2006年
关键词
delineation; genetic algorithm; rotation-invariantly; reproducibly; simply;
D O I
10.1109/ICCIAS.2006.295388
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
To characterize particle size and shape by using image technique, the first step is to delineate parlicle, and then to measure each delineated particle in a right way. For the two steps, there are a number of algorithms have been developed by previous researchers, but there is no standard. This paper describes a genetic algorithm using for delineation of solid particles. It is a new study for particle images. We present the image segmentation system which incorporates a genetic algorithm to adapt the segmentation process to changes in image characteristics caused by variable environmental conditions. After particle delineation, we studied a new algorithm for particle measurement, which is rotation-invariantly, reproducibly, simply, and reasonably. The two algorithms were tested by a number of particle images, they work well in our cases.
引用
收藏
页码:1861 / 1864
页数:4
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