An error bounded tangent estimator for digital curves

Prasad, Dilip K.; Leung, M.K.H.

doi:10.1109/ivcnz.2010.6148807

Cited by 1 publication

(1 citation statement)

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“…33 In the literature, most methods require control parameter for selecting dominant points to be used as vertices for polygonal approximation. 34 However, choosing the appropriate control parameters is challenging. In this work, a parameter-independent method of polygon approximation (nonparametric adaptation of RDP) was used to avoid detecting false concave points.…”

Section: Polygonal Approximationmentioning

confidence: 99%

Synthetic Image Analysis for Accurate Agglomerate Characterization and Control in Liquid–Liquid Phase Separation Systems

Zhou,

Xuanyuan,

et al. 2024

Crystal Growth & Design

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Agglomeration control is important for both the crystallization process and product quality optimization. Fast and precise description of the agglomerate is crucial for agglomeration control. This work proposed a synthetic image analysis method to accurately count primary particles within agglomerates by recognizing and clustering the salient features. In addition, a new definition of the agglomeration degree distribution was introduced to underscore the proportion of heavy agglomerates within the particle population. Further, the image analysis method and agglomeration degree distribution were tested in raspberry ketone-1-propanol-water system, which is a typical antisolvent oiling-out system accompanied by liquid–liquid phase separation (LLPS) and agglomeration. A seeding strategy was built up by investigating the effects of seeding conditions, including seed size and addition time, on agglomeration. The results demonstrated the effectiveness of the proposed method, which correctly counts more than 78% of the particles even for heavy agglomerates. The agglomeration was effectively inhibited via introducing small seeds after LLPS. The image analysis method and the concept of agglomeration degree distribution proposed in this work could be used to provide valuable insights into the agglomeration behavior and agglomeration control of similar systems.

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Section: Polygonal Approximationmentioning

confidence: 99%