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个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职：Professor at the Institute of Advanced Measurement & Control Technology
其他任职：先进检测与控制技术研究所所长
性别：男
毕业院校：上海交通大学
学位：博士
所在单位：控制科学与工程学院
学科：控制理论与控制工程. 化学工程
办公地点：大连理工大学控制科学与工程学院先进检测与控制技术研究所
大连市凌工路2号大连理工大学海山楼A座724室
联系方式：Tel:(0411)84706465 实验室网站：http://act.dlut.edu.cn/
电子邮箱：tliu@dlut.edu.cn
Online Detection of Particle Agglomeration during Solution Crystallization by Microscopic Double-View Image Analysis
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论文类型：期刊论文
发表时间：2017-10-04
发表刊物：INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
收录刊物：SCIE、EI
卷号：56
期号：39
页面范围：11257-11269
ISSN号：0888-5885
摘要：To detect the particle agglomeration degree for assessing crystal growth quality during a crystallization process, an in situ image analysis method is proposed based on a microscopic double-view imaging system. First, a fast image preprocessing approach is adopted for segmenting raw images taken simultaneously from two cameras installed at different angles, to reduce the influence from uneven illumination background and solution turbulence. By defining an index of the inner distance based curvature for different particle shapes, a preliminary sieving algorithm is then used to identify candidate agglomerates. By introducing two texture descriptors for pattern recognition, a feature matching algorithm is subsequently developed to recognize pseudoagglomerates in each pair of the double-view images. Finally, a fast algorithm is proposed to,count the number of recognized particles in these agglomerates, besides the unagglomerated particles. Experimental results from the potassium dihydrogen phosphate (KDP) crystallization process demonstrate good accuracy for recognizing pseudoagglomeration and counting the primary particles in these agglomerates by using the proposed method.