On-line measurement of needle-like crystal sizes based on computer vision methodology

The crystal size is an important parameter for monitoring and control in industrial crystallization processes. In this paper, we put forward an optimized measuring technology for size measurement by using computer vision methodologies. The focus is to overcome the uneven background with filtering and deblurring methods, image segmentation, and size measurement. The crystals can be segmented from the crystallization images by the improved combination method. Then the particle sizes are obtained by fitting the crystal shapes for analysing the particle size distribution. The experimental results present the proposed model has high effectiveness based on real-time crystallization images.