Crystal Morphology Monitoring based on In-situ Image Analysis of L-glutamic Acid Crystallization
- DOI
- 10.2991/cnci-19.2019.53How to use a DOI?
- Keywords
- Crystal, image analysis, I-BGLAM, image descriptors, segmentation
- Abstract
In the process of chemical industry and biological pharmacy, the morphology of the crystal plays a vital role, different morphological characteristics such as shape and size have a direct impact on production. Therefore, this paper proposes a synthetic in-situ image analysis method for monitoring the morphology of crystals based on using an invasive imaging system. The proposed method includes image preprocessing, feature extraction, morphological identification and agglomeration re-segmentation. The in-situ image is first pre-processed to eliminate the effects of water droplets, particle shadows, and uneven illumination. Then, texture features are extracted by using Improved-Basic Gray Level Aura Matrix (I-BGLAM) for different types of particles, and shape features are extracted by using image descriptors. Afterwards, the extracted features are used to morphologically identify the different particles. At last, the salient corners of the particles are detected, and a segmentation algorithm that separates individual crystals from the agglomerates is constructed by clustering the same type of salient corners. The case study and experimental results of L-glutamic acid cooling crystallization show that the image analysis method can be effectively used for morphology analysis of in-situ crystals with good precision.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zhimao Lu AU - Lin Zhang AU - Yongming Jiang AU - Chi Zhang AU - Guijuan Zhang AU - Mengzhu Liu PY - 2019/05 DA - 2019/05 TI - Crystal Morphology Monitoring based on In-situ Image Analysis of L-glutamic Acid Crystallization BT - Proceedings of the 2019 International Conference on Computer, Network, Communication and Information Systems (CNCI 2019) PB - Atlantis Press SP - 371 EP - 390 SN - 2352-538X UR - https://doi.org/10.2991/cnci-19.2019.53 DO - 10.2991/cnci-19.2019.53 ID - Lu2019/05 ER -