A method for analyzing on-line video images of crystallization at high-solid concentrations

作     者：Jian Wan Cai Y. Ma Xue Z. Wang 

作者机构：Institute of Particle Science and Engineering School of Process Environmental and Materials Engineering University of Leeds Leeds LS2 9JT UK 

出 版 物：《Particuology》 (颗粒学报（英文版）)

年 卷 期：2008年第6卷第1期

页      面：9-15页

核心收录：

学科分类：07[理学] 0817[工学-化学工程与技术] 070205[理学-凝聚态物理] 08[工学] 080203[工学-机械设计及理论] 080501[工学-材料物理与化学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0703[理学-化学] 0802[工学-机械工程] 0702[理学-物理学] 

基　　金：Engineering and Physical Sciences Research Council EPSRC: EP/C009541 EP/E045707 

主　　题：Crystallization High-solid concentrations Image processing Multi-scale segmentation Watershed segmentation Crystal size distribution 

摘      要：Recent research has demonstrated that on-line video imaging is a very promising technique for monitoring crystallization processes. The bottleneck in applying the technique for real-time closed-loop control is considered as image analysis that needs to be robust, fast and able to handle varied image qualities due to temporal variations of operating conditions such as mixing and solid concentrations. Image analysis at highsolid concentrations turns out to be extremely challenging because crystals tend to overlap or attach to each other and the boundaries between the crystals are usually ambiguous. This paper presents an image segmentation algorithm that can effectively deal with images taken at high-solid concentrations. The method segments crystals attached to each other along the mostly related concave points on the contours of crystal blocks. The detailed procedure is introduced with application to crystallization of L-glutamic acid in a hot-stage reactor.